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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. 1718
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    INDEX
    Explanations

    mentions of different possible outcomes or results

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "outcome" indicating results or consequences

    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
    ker
    -0.77
    cer
    -0.72
    afort
    -0.71
    king
    -0.70
    Cola
    -0.69
    ovie
    -0.68
    nan
    -0.67
    pload
    -0.67
    uggage
    -0.66
    yi
    -0.66
    POSITIVE LOGITS
     outcome
    1.12
     outcomes
    1.02
    bringer
    0.88
     thereof
    0.76
     result
    0.72
    ebin
    0.71
     probabilities
    0.70
     Result
    0.69
     Winner
    0.67
     winner
    0.67
    Activations Density 0.008%

    No Known Activations