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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 19772
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to political campaigns and significant events

    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
     Amen
    -0.55
    '."
    -0.52
    )."
    -0.52
    !".
    -0.47
    æŃ¦
    -0.47
    """
    -0.45
    SourceFile
    -0.45
     LTD
    -0.44
    ]."
    -0.43
    .'"
    -0.43
    POSITIVE LOGITS
    arching
    0.43
    rella
    0.37
     disgu
    0.37
     autop
    0.36
     cov
    0.36
    onnaissance
    0.36
    je
    0.35
    owship
    0.35
     recomm
    0.34
    pmwiki
    0.34
    Activations Density 3.859%

    No Known Activations