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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. 4-RES-JB
    11. 9385
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    Explanations

    phrases referring to photo credits or acknowledgments

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Courtesy" or similar citation phrases in the text

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

    No Comments

    Negative Logits
    oshenko
    -1.05
    akia
    -0.87
    powers
    -0.82
    thy
    -0.75
     retard
    -0.75
    urg
    -0.73
    thin
    -0.71
    ashing
    -0.70
    ago
    -0.69
     frogs
    -0.69
    POSITIVE LOGITS
    tesy
    1.02
     Courtesy
    0.89
    Courtesy
    0.88
    )=(
    0.82
     Images
    0.81
    edIn
    0.79
     Photo
    0.79
     Via
    0.77
    ILY
    0.77
    Photos
    0.76
    Activations Density 0.004%

    No Known Activations