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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. 1032
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    Explanations

    famous quotes or statements made by notable figures

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating past events or actions

    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
    EVA
    -0.69
     Flavoring
    -0.69
    MSN
    -0.68
    OG
    -0.67
    pace
    -0.66
     GOODMAN
    -0.65
    ãĥ¼
    -0.65
    PsyNetMessage
    -0.65
    IELD
    -0.64
     CHO
    -0.64
    POSITIVE LOGITS
     Bucc
    0.76
    aukee
    0.73
     again
    0.72
    handedly
    0.70
     tasted
    0.70
     banished
    0.69
     bitten
    0.68
     glimps
    0.67
     disembark
    0.66
    bows
    0.65
    Activations Density 0.024%

    No Known Activations