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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. 7-RES-JB
    11. 2891
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    Explanations

    statements made by political figures

    oai_token-act-pair · gpt-3.5-turbo

    statements or quotes from political leaders or officials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utical
    -0.68
     resil
    -0.61
     undet
    -0.59
     conce
    -0.59
    stall
    -0.57
     seams
    -0.55
     tremend
    -0.55
     curated
    -0.53
     irresistible
    -0.52
    ptin
    -0.52
    POSITIVE LOGITS
    Meanwhile
    0.74
    <|endoftext|>
    0.74
    Attorney
    0.73
    Others
    0.72
    ebus
    0.67
     Attorney
    0.66
    Journal
    0.66
    Asked
    0.66
    Elsewhere
    0.66
     Speaking
    0.65
    Activations Density 0.744%

    No Known Activations