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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. 553
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    INDEX
    Explanations

    names or terms related to a specific character or entity, possibly from various contexts

    oai_token-act-pair · gpt-3.5-turbo

    words and characters related to individuals' names or specific identities

    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
    nesday
    -0.76
    swick
    -0.71
    ted
    -0.67
    paren
    -0.67
    ter
    -0.66
    yright
    -0.64
     PAT
    -0.64
     same
    -0.64
     CBO
    -0.63
     birth
    -0.63
    POSITIVE LOGITS
    agi
    1.46
    azo
    0.97
    ogo
    0.93
    ocl
    0.91
    isu
    0.87
    ographical
    0.85
    asis
    0.85
    inia
    0.82
    opoulos
    0.81
    andom
    0.80
    Activations Density 0.007%

    No Known Activations