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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    negative sentiments and expressions of hate

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hate towards various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ert
    -0.83
     Peng
    -0.75
     largeDownload
    -0.73
     Kard
    -0.70
     Lima
    -0.69
    doi
    -0.69
    batch
    -0.69
    session
    -0.68
     Mechan
    -0.66
    Parameter
    -0.66
    POSITIVE LOGITS
     hate
    3.65
    hate
    2.95
     Hate
    2.88
     hatred
    2.06
     hates
    1.93
     hating
    1.87
     hated
    1.85
     hateful
    1.77
     despise
    1.69
     dislike
    1.67
    Activations Density 0.025%

    No Known Activations