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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. 17978
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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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    Negative Logits
    mand
    -0.59
    ried
    -0.56
     inherit
    -0.55
     brothers
    -0.54
    iter
    -0.53
     suicide
    -0.53
     bunk
    -0.52
     aborted
    -0.52
     descriptor
    -0.51
    etts
    -0.51
    POSITIVE LOGITS
     occasional
    0.66
    çİĭ
    0.65
    ctory
    0.65
    Adds
    0.64
    prise
    0.64
    Detailed
    0.63
    pring
    0.61
    Course
    0.61
    achev
    0.61
    isode
    0.61
    Activations Density 0.025%

    No Known Activations