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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. 9-RES-JB
    11. 1953
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    INDEX
    Explanations

    mentions of individuals or groups with specific traits or conditions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "with" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    henko
    -0.72
    cade
    -0.65
    Fed
    -0.62
    rail
    -0.62
    ouf
    -0.60
    FIG
    -0.59
     afterward
    -0.59
    press
    -0.57
    oult
    -0.56
     afterwards
    -0.56
    POSITIVE LOGITS
    stood
    1.50
     disabilities
    1.45
     whom
    1.19
    drawn
    1.15
    standing
    1.11
     regard
    1.06
     regards
    0.99
    held
    0.97
     respect
    0.95
     aspirations
    0.94
    Activations Density 0.110%

    No Known Activations