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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. 9-RES-JB
    6. 9732
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    Explanations

    phrases related to written or spoken content

    oai_token-act-pair · gpt-3.5-turbo

    mentions of future scenarios or depictions in a narrative context

    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
    usercontent
    -0.78
    .''.
    -0.72
    .(
    -0.71
    acci
    -0.68
    unless
    -0.67
     unless
    -0.66
     darn
    -0.65
    cause
    -0.65
     instead
    -0.64
    !.
    -0.64
    POSITIVE LOGITS
     foregoing
    0.63
     Collider
    0.57
     CES
    0.57
    Newsletter
    0.57
     these
    0.57
     this
    0.56
     Wid
    0.56
     Archives
    0.56
     Springer
    0.56
     hindsight
    0.55
    Activations Density 0.526%

    No Known Activations