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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. 7-RES-JB
    11. 3745
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    Explanations

    structured data or codes within a text

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and related attributes

    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
    entimes
    -1.09
    SPONSORED
    -0.86
    POST
    -0.80
    adjusted
    -0.77
    typically
    -0.76
    rounded
    -0.74
    iannopoulos
    -0.73
    thinkable
    -0.73
    TPPStreamerBot
    -0.73
    sole
    -0.73
    POSITIVE LOGITS
     TBA
    1.02
     Ibid
    0.97
     Myst
    0.94
     Cas
    0.93
     Hung
    0.91
     Hag
    0.88
     Esk
    0.88
     Suc
    0.87
     Lum
    0.85
     En
    0.83
    Activations Density 0.181%

    No Known Activations