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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. 6-RES-JB
    11. 9372
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ratulations
    -0.78
    ally
    -0.68
    itudes
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    Ł
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    ãĥ«
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    ially
    -0.59
     suspic
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    ality
    -0.59
    xtap
    -0.59
    ifully
    -0.58
    POSITIVE LOGITS
     Appears
    0.76
    BUT
    0.71
    wait
    0.71
    ahime
    0.70
     âĢİ
    0.70
     Bake
    0.69
     Author
    0.65
    BACK
    0.63
    Hunt
    0.62
    \<
    0.61
    Activations Density 0.060%

    No Known Activations