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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. 4-RES-JB
    11. 10453
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    stal
    -0.77
    ortium
    -0.71
    neg
    -0.70
    conn
    -0.67
    storms
    -0.66
    origin
    -0.66
    aldi
    -0.65
    chief
    -0.65
    cius
    -0.63
    row
    -0.63
    POSITIVE LOGITS
    ibility
    1.09
    ible
    0.95
    accessible
    0.90
     accessible
    0.86
    ibly
    0.81
    isable
    0.77
     inaccessible
    0.73
    izable
    0.73
    idges
    0.69
    ahime
    0.69
    Activations Density 0.014%

    No Known Activations