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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. 11-RES-JB
    11. 18678
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    Explanations

    strong emotive phrases or sentiments

    oai_token-act-pair · gpt-3.5-turbo

    sentences that conclude with a period

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     withd
    -0.76
     stocking
    -0.76
     challeng
    -0.75
     powering
    -0.73
     immersion
    -0.72
     nodd
    -0.72
     sway
    -0.71
     dispos
    -0.70
     strugg
    -0.70
     retention
    -0.69
    POSITIVE LOGITS
    jpg
    1.38
     Retrieved
    1.36
     Photograph
    1.18
     Accessed
    1.16
    png
    1.15
    pdf
    1.12
     Photo
    1.09
    blogspot
    1.07
    com
    1.01
    edu
    0.97
    Activations Density 0.243%

    No Known Activations