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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. 8-RES-JB
    11. 8939
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    Explanations

    numerical values related to time, such as years, months, and days

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years and time periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edIn
    -0.86
    ogle
    -0.73
    Dat
    -0.66
    emort
    -0.64
    omething
    -0.63
    psey
    -0.63
    ĺħ
    -0.62
     Gleaming
    -0.62
     bom
    -0.61
    afety
    -0.61
    POSITIVE LOGITS
     finale
    0.85
     festivities
    0.78
    long
    0.78
    liest
    0.76
    ultimate
    0.72
    forth
    0.71
    aments
    0.70
    burn
    0.67
    finals
    0.66
    lies
    0.65
    Activations Density 0.078%

    No Known Activations