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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. 8-RES-JB
    11. 10400
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    Explanations

    technical, detailed answers or discussions within text

    oai_token-act-pair · gpt-3.5-turbo

    references to questions, goals, and underlying assumptions or claims

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ³ãĤ¸
    -0.70
     srf
    -0.69
    usha
    -0.66
    idth
    -0.66
    anium
    -0.64
    NK
    -0.63
    ococ
    -0.61
     shooters
    -0.58
    akin
    -0.57
    ctors
    -0.57
    POSITIVE LOGITS
     firsthand
    0.79
    .</
    0.77
    .<
    0.75
     ASAP
    0.73
     HuffPost
    0.69
     myself
    0.69
    .$
    0.67
     because
    0.67
    .
    0.66
    lessness
    0.66
    Activations Density 0.312%

    No Known Activations