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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 5426
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    Explanations

    technical implementation details and discussions

    oai_token-act-pair · gpt-3.5-turbo

    references to "implementation" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ovies
    -0.79
    onna
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    vertisement
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    imir
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    fam
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    azines
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     palms
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    some
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    si
    -0.64
    Bone
    -0.64
    POSITIVE LOGITS
    plementation
    0.89
    eering
    0.77
    alled
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    ause
    0.76
     thereof
    0.75
     detail
    0.73
    eers
    0.72
     Werewolf
    0.67
    ment
    0.67
     Archdemon
    0.67
    Activations Density 0.060%

    No Known Activations