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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. 23802
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    Explanations

    dates and events

    oai_token-act-pair · gpt-3.5-turbo

    dates and specific event details

    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
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    No Comments

    Negative Logits
     corrections
    -0.76
     screwed
    -0.70
     bankrupt
    -0.69
     correction
    -0.69
     mistakes
    -0.67
     tabl
    -0.66
     parity
    -0.66
     recession
    -0.64
     transcript
    -0.63
     exploded
    -0.63
    POSITIVE LOGITS
     noon
    1.06
     kickoff
    0.89
    Tickets
    0.86
    noon
    0.83
     evenings
    0.79
     evening
    0.78
    Saturday
    0.78
    Registration
    0.77
     festivities
    0.77
    Wednesday
    0.76
    Activations Density 0.191%

    No Known Activations