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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. 4-RES-JB
    11. 15749
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    Explanations

    words related to locations or facilities

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of organizations, institutions, or venues

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

    No Comments

    Negative Logits
    TPPStreamerBot
    -0.73
    confidence
    -0.65
    hemy
    -0.64
    latest
    -0.64
    emort
    -0.64
    Force
    -0.64
    ogh
    -0.63
    earable
    -0.63
    ãģĦ
    -0.63
     Thrust
    -0.63
    POSITIVE LOGITS
    mate
    0.97
    mates
    0.93
     operated
    0.82
     builder
    0.81
     frequ
    0.79
     outpost
    0.78
    pole
    0.78
     specializing
    0.77
     operator
    0.76
    builder
    0.75
    Activations Density 0.291%

    No Known Activations