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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. 0-RES-JB
    11. 1369
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    INDEX
    Explanations

    phrases indicating a choice or contrast

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating options or alternatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    redients
    -0.63
    yssey
    -0.63
    ruary
    -0.62
    mire
    -0.62
     withd
    -0.61
    itsch
    -0.60
    escription
    -0.59
    athered
    -0.58
    umenthal
    -0.57
    sembly
    -0.57
    POSITIVE LOGITS
     or
    2.43
     nor
    1.39
     OR
    1.28
     Or
    1.24
    Or
    1.22
    or
    1.09
     etc
    1.09
     versus
    0.95
     either
    0.90
     whatsoever
    0.88
    Activations Density 0.154%

    No Known Activations