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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. 8-RES-JB
    11. 7946
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    INDEX
    Explanations

    phrases indicating a statement of fact or reality

    oai_token-act-pair · gpt-3.5-turbo

    statements emphasizing the truth or validity of claims

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Citiz
    -0.68
    ittal
    -0.64
    azine
    -0.63
     Flavoring
    -0.63
     newsletters
    -0.61
    PDATE
    -0.61
    Plus
    -0.60
    ersen
    -0.60
    rones
    -0.60
     Push
    -0.59
    POSITIVE LOGITS
    netflix
    0.83
    ional
    0.76
    opus
    0.68
    akes
    0.67
    ettel
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    Downloadha
    0.66
    REDACTED
    0.65
    ãĥĩãĤ£
    0.64
    REP
    0.64
    lie
    0.64
    Activations Density 0.062%

    No Known Activations