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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. 9-RES-JB
    11. 23074
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    INDEX
    Explanations

    mentions of critical reviews or negative aspects in text

    oai_token-act-pair · gpt-3.5-turbo

    expressions of warnings or cautionary statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    minist
    -0.77
    stra
    -0.75
     Walsh
    -0.66
     Maj
    -0.65
    MT
    -0.65
    cair
    -0.64
    MAC
    -0.62
    cult
    -0.61
    IDA
    -0.61
    zbollah
    -0.60
    POSITIVE LOGITS
     unob
    0.68
     unex
    0.68
    aru
    0.67
    urrency
    0.66
    x
    0.66
    |
    0.63
     incor
    0.63
    -|
    0.62
    ãĤ¹
    0.61
     ex
    0.61
    Activations Density 0.332%

    No Known Activations