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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. 12-RES-JB
    11. 2561
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    INDEX
    Explanations

    important or central intentions or reasons behind actions or situations

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    expressions of purpose or intent

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    crop
    -0.65
     Neighbor
    -0.62
     Franch
    -0.62
    Stars
    -0.60
     Leopard
    -0.57
     Cham
    -0.56
    Els
    -0.56
    Scot
    -0.56
     fists
    -0.55
    Chance
    -0.55
    POSITIVE LOGITS
    ful
    1.33
    fulness
    1.17
    fully
    1.08
     behind
    0.95
    ality
    0.93
    FUL
    0.92
    ual
    0.81
    lessly
    0.80
    lessness
    0.79
    ories
    0.77
    Activations Density 0.092%

    No Known Activations