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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. 6389
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    percentage values in a text

    oai_token-act-pair · gpt-3.5-turbo

    percentage values in the text

    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
     Rav
    -0.68
     compan
    -0.67
     cru
    -0.63
    itiz
    -0.62
     dign
    -0.61
    pecially
    -0.61
    aries
    -0.61
     compr
    -0.60
    uras
    -0.59
    lict
    -0.58
    POSITIVE LOGITS
    +.
    0.94
     ABV
    0.93
    +)
    0.89
    +,
    0.82
    -+
    0.75
    xual
    0.74
     opacity
    0.71
    ablishment
    0.71
     humidity
    0.68
    bps
    0.67
    Activations Density 0.058%

    No Known Activations