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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. 7-RES-JB
    11. 10851
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    INDEX
    Explanations

    mentions of characters in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to characters in narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yg
    -0.74
    VERTIS
    -0.71
    rup
    -0.70
    ctr
    -0.65
    isco
    -0.64
     Tant
    -0.64
    ¿½
    -0.63
    atories
    -0.63
    alm
    -0.63
    LOCK
    -0.62
    POSITIVE LOGITS
    acters
    1.47
    istically
    1.12
    istics
    1.04
     assassinate
    0.86
    izations
    0.85
     characters
    0.84
     arcs
    0.80
     portraits
    0.79
    isations
    0.78
     Characters
    0.76
    Activations Density 0.039%

    No Known Activations