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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. 11-RES-JB
    11. 3590
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    INDEX
    Explanations

    university or college names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of colleges or institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .""
    -0.79
    ',"
    -0.78
    ,'"
    -0.72
     tremend
    -0.68
    .")
    -0.67
    .),
    -0.64
     shedding
    -0.63
    ccording
    -0.63
    ),"
    -0.63
    .",
    -0.61
    POSITIVE LOGITS
    ↵
    1.35
    <|endoftext|>
    1.08
    ↵↵
    1.03
     TBA
    0.95
     II
    0.74
     /
    0.73
    SPONSORED
    0.72
     III
    0.70
     Syndicate
    0.70
     Jr
    0.69
    Activations Density 0.370%

    No Known Activations