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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. 888
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    INDEX
    Explanations

    mentions of specific people

    oai_token-act-pair · gpt-3.5-turbo

    connections to organizations, research, and specific places or entities

    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
    yip
    -0.76
    peat
    -0.75
    leneck
    -0.74
    icycle
    -0.69
    alore
    -0.68
    apesh
    -0.67
    antz
    -0.66
    ammy
    -0.66
    ufact
    -0.65
    pees
    -0.65
    POSITIVE LOGITS
    士
    0.95
    ĨĴ
    0.83
    etus
    0.70
     thous
    0.67
     Tenth
    0.61
     Authors
    0.61
     Disorders
    0.61
     Letters
    0.61
     Antiqu
    0.60
     Obj
    0.59
    Activations Density 0.557%

    No Known Activations