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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. 9-RES-JB
    11. 5390
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    Explanations

    phrases related to decision-making involving gain or loss, and actions related to adding or removing items

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions indicating relationships or conditions between ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Democr
    -0.70
     Ey
    -0.67
    pher
    -0.67
     Lutheran
    -0.67
     Mercury
    -0.66
     Human
    -0.64
    igl
    -0.64
     Humanity
    -0.64
     Civic
    -0.63
     organs
    -0.62
    POSITIVE LOGITS
     subtract
    0.86
    Remove
    0.78
     deletion
    0.76
    drop
    0.76
    EStream
    0.74
     exclude
    0.72
     discard
    0.71
    engers
    0.70
    appings
    0.70
    pees
    0.70
    Activations Density 0.212%

    No Known Activations