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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. 1-RES-JB
    11. 7486
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    Explanations

    references to scientific organizations/lists and financial terms

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific organizations and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥ³
    -0.93
    ão
    -0.88
    aila
    -0.83
    SPA
    -0.82
    itions
    -0.78
    ãĤ¼ãĤ¦ãĤ¹
    -0.77
    ãĤ£
    -0.76
    bies
    -0.76
    angelo
    -0.76
    actory
    -0.75
    POSITIVE LOGITS
    BG
    0.77
     trig
    0.75
    ccording
    0.71
    xual
    0.69
     OP
    0.68
    aminer
    0.67
    cffff
    0.67
     borrower
    0.67
    vernment
    0.66
    zzle
    0.66
    Activations Density 0.029%

    No Known Activations