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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. 13693
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    Explanations

    dates and locations from historical events

    oai_token-act-pair · gpt-3.5-turbo

    references to historical time periods, specifically relating to dates and eras

    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
    ciation
    -0.69
    Management
    -0.65
     Debor
    -0.62
    aldehyde
    -0.60
    cue
    -0.59
    èª
    -0.59
    artist
    -0.58
    analysis
    -0.57
    æĸ¹
    -0.57
    Feed
    -0.57
    POSITIVE LOGITS
    illion
    0.86
     apiece
    0.80
    pees
    0.76
    akh
    0.72
    gged
    0.72
    undred
    0.71
    bps
    0.67
     increments
    0.67
    userc
    0.65
    waukee
    0.65
    Activations Density 0.207%

    No Known Activations