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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. 12188
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    Explanations

    proper nouns related to a specific name or place, particularly "Marquette"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and identifiers associated with individuals 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
    sworth
    -0.83
    abor
    -0.79
    raft
    -0.76
    abilities
    -0.73
    emen
    -0.72
    umbn
    -0.71
    GW
    -0.71
    ERAL
    -0.69
    glers
    -0.69
    owicz
    -0.66
    POSITIVE LOGITS
    jee
    0.73
    esses
    0.68
     Peninsula
    0.65
    olicy
    0.62
    Grade
    0.62
     Abbey
    0.62
    ttes
    0.62
    essed
    0.61
     Formula
    0.61
     grade
    0.60
    Activations Density 0.055%

    No Known Activations