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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. 10-RES-JB
    11. 16388
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    Explanations

    timestamps

    oai_token-act-pair · gpt-3.5-turbo

    specific time-related phrases and occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Parables
    -0.78
    alties
    -0.77
    ographies
    -0.75
    comings
    -0.74
    ername
    -0.73
     DRAG
    -0.71
    ãĥīãĥ©
    -0.67
    Ranked
    -0.65
    ngth
    -0.65
    ospace
    -0.64
    POSITIVE LOGITS
     noon
    1.78
     midday
    1.68
     midnight
    1.67
     sunrise
    1.49
     dusk
    1.45
     Noon
    1.35
     sunset
    1.35
     dawn
    1.32
     Midnight
    1.18
     halftime
    1.17
    Activations Density 0.166%

    No Known Activations