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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. 4-RES-JB
    11. 11087
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    INDEX
    Explanations

    mentions of people or groups of people

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities of people and their impact on various situations

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

    No Comments

    Negative Logits
    CHAT
    -0.70
    cknow
    -0.69
     Citation
    -0.65
     Griffith
    -0.64
     Baron
    -0.63
     Lazarus
    -0.63
     Abdel
    -0.62
     Jinn
    -0.62
     Dash
    -0.62
     Ambrose
    -0.61
    POSITIVE LOGITS
     than
    1.36
    than
    1.06
    efficient
    0.82
     Than
    0.81
    izable
    0.79
    worthy
    0.79
    erous
    0.78
     besides
    0.77
     hassle
    0.75
    iable
    0.73
    Activations Density 0.336%

    No Known Activations