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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. 2735
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    Explanations

    time-related terms and time zones

    oai_token-act-pair · gpt-3.5-turbo

    references to time zones and discussions about communication

    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
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    No Comments

    Negative Logits
    idas
    -0.79
    sen
    -0.75
    sbm
    -0.72
    hus
    -0.72
    rums
    -0.70
    ranged
    -0.68
    elect
    -0.66
    Assembly
    -0.66
    sole
    -0.65
    Republic
    -0.65
    POSITIVE LOGITS
    UTC
    1.24
     edits
    0.69
    RFC
    0.68
     UTC
    0.65
    URA
    0.64
    Dial
    0.62
    witz
    0.61
     Gazette
    0.61
    ophen
    0.61
    wiki
    0.60
    Activations Density 0.004%

    No Known Activations