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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. 12547
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    Explanations

    words related to eligibility and qualification

    oai_token-act-pair · gpt-3.5-turbo

    terms related to eligibility for benefits, programs, or rights

    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
    Not in Any Lists

    No Comments

    Negative Logits
    prototype
    -0.63
    row
    -0.59
    rench
    -0.57
    operation
    -0.56
    olson
    -0.56
    liness
    -0.56
     accomp
    -0.55
    uli
    -0.55
     Sabb
    -0.54
    zyme
    -0.53
    POSITIVE LOGITS
     for
    1.01
    untarily
    0.97
     academ
    0.74
     elector
    0.72
     externalToEVAOnly
    0.72
    ioned
    0.72
    ogens
    0.71
     to
    0.70
     candidates
    0.70
     electors
    0.69
    Activations Density 0.079%

    No Known Activations