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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. 2532
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    Explanations

    statistical data and measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistical values

    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
    Not in Any Lists

    No Comments

    Negative Logits
    neys
    -1.00
    atche
    -0.85
    ingham
    -0.81
    abies
    -0.80
    unci
    -0.76
    uers
    -0.76
    arium
    -0.75
    aco
    -0.74
    iger
    -0.73
    ibel
    -0.73
    POSITIVE LOGITS
    ±
    1.03
     ±
    0.88
     +/-
    0.81
    =~=~
    0.75
    /+
    0.73
    /-
    0.73
    limit
    0.71
     tolerated
    0.69
    Ħ¢
    0.68
    events
    0.68
    Activations Density 0.015%

    No Known Activations