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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. 13441
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    Explanations

    mentions of educational or training programs

    oai_token-act-pair · gpt-3.5-turbo

    references to specific programs

    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
     dilig
    -0.70
    xious
    -0.66
     fist
    -0.65
     volcan
    -0.64
     stake
    -0.64
    uple
    -0.63
    picking
    -0.61
    ween
    -0.60
    pick
    -0.60
     Fiat
    -0.59
    POSITIVE LOGITS
    mable
    1.71
    matic
    1.44
    matically
    1.41
    mers
    1.04
    manship
    0.91
    atical
    0.87
    ¥µ
    0.85
    atically
    0.84
    mes
    0.83
    eers
    0.82
    Activations Density 0.026%

    No Known Activations