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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. 3-RES-JB
    11. 3528
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    Explanations

    opportunities for action or decision-making

    oai_token-act-pair · gpt-3.5-turbo

    phrases containing the word "could."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cedented
    -0.69
     Ing
    -0.63
    furt
    -0.63
     reven
    -0.62
    bush
    -0.58
     Rising
    -0.58
     Yards
    -0.57
     Apart
    -0.56
    holder
    -0.56
     vacated
    -0.55
    POSITIVE LOGITS
     feas
    1.09
    berra
    1.01
    adian
    1.01
    ĸļ
    1.00
     conce
    0.96
     conclud
    0.93
    't
    0.92
     afford
    0.89
     be
    0.88
     possibly
    0.88
    Activations Density 0.085%

    No Known Activations