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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. 11-RES-JB
    11. 4924
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    oai_token-act-pair · gpt-3.5-turbo

    percentages and related statistical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     exerc
    -0.69
     Mellon
    -0.66
    wagen
    -0.64
     fart
    -0.60
    andowski
    -0.59
     subpoen
    -0.58
     disse
    -0.58
    MpServer
    -0.56
    icular
    -0.56
    itiz
    -0.55
    POSITIVE LOGITS
    %%%%
    1.03
    reet
    0.88
    WIND
    0.82
    loop
    0.82
    %%
    0.82
    AppData
    0.81
    20
    0.81
    endif
    0.80
    chat
    0.76
    -+
    0.75
    Activations Density 0.016%

    No Known Activations