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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. 9-RES-JB
    11. 14029
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    Explanations

    specific times and days mentioned in sentences

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and times

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     caveats
    -0.68
     Journals
    -0.67
    UTF
    -0.66
     Codex
    -0.65
     subtitle
    -0.64
    osponsors
    -0.63
     divest
    -0.62
     pse
    -0.62
    ocracy
    -0.61
    ãĥĪ
    -0.61
    POSITIVE LOGITS
    andals
    0.97
     burgl
    0.87
     morning
    0.84
     incident
    0.83
     afternoon
    0.81
     robbery
    0.81
     accident
    0.79
    assault
    0.78
     evening
    0.75
     Incident
    0.75
    Activations Density 0.220%

    No Known Activations