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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. 3-RES-JB
    11. 17824
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    INDEX
    Explanations

    words related to characters and characterizations

    oai_token-act-pair · gpt-3.5-turbo

    references to characters in a narrative or story

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æĸ¹
    -0.83
    hower
    -0.71
    ILS
    -0.68
     Reloaded
    -0.64
    arcity
    -0.63
     Examiner
    -0.63
    EMS
    -0.62
    DERR
    -0.62
    ynthesis
    -0.62
     Ãľ
    -0.62
    POSITIVE LOGITS
    acters
    1.50
    itably
    1.06
    NetMessage
    0.91
    itable
    0.87
    char
    0.85
    ret
    0.85
    coal
    0.83
    vin
    0.83
    izard
    0.82
    isma
    0.81
    Activations Density 0.008%

    No Known Activations