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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. 7-RES-JB
    11. 9726
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    xi
    -0.72
    icrobial
    -0.69
    ournal
    -0.67
    tyard
    -0.67
    rador
    -0.65
    HOME
    -0.64
    ucket
    -0.64
    otaur
    -0.63
    Ķ
    -0.62
    ounter
    -0.62
    POSITIVE LOGITS
     enough
    1.06
    isable
    1.06
    izable
    0.91
    istically
    0.87
    ised
    0.81
    ized
    0.78
    arily
    0.76
     fodder
    0.76
    ifiable
    0.76
    istic
    0.75
    Activations Density 0.347%

    No Known Activations