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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. 6-RES-JB
    11. 17439
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    Explanations

    proper nouns or names, specifically focusing on names starting with "D" or "L"

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals involved in various contexts or topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Abyssal
    -0.75
    onent
    -0.71
    ãĥķãĤ©
    -0.70
    Fal
    -0.69
    aqu
    -0.69
    emort
    -0.69
    ramid
    -0.68
    aign
    -0.68
    Anim
    -0.67
    undai
    -0.67
    POSITIVE LOGITS
     Faust
    0.80
     Winchester
    0.79
     Gallagher
    0.77
    forth
    0.75
     Grimes
    0.73
     Greene
    0.71
     Brennan
    0.67
    ogen
    0.67
     Owens
    0.66
     Wass
    0.65
    Activations Density 0.042%

    No Known Activations