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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. 11231
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    Explanations

    italicized or highlighted text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character or symbol in the text

    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
    anmar
    -0.78
    ktop
    -0.68
    etsk
    -0.68
    antis
    -0.67
    anship
    -0.63
    lder
    -0.63
    vernment
    -0.63
     scram
    -0.63
    stem
    -0.63
    cies
    -0.63
    POSITIVE LOGITS
    ↵
    1.18
    <|endoftext|>
    1.12
    ï¸
    1.05
    ↵↵
    0.89
    ï¸ı
    0.83
    âĨ
    0.78
     Thank
    0.77
     Congratulations
    0.76
     Therefore
    0.75
    ðŁĺ
    0.75
    Activations Density 0.133%

    No Known Activations