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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. 11-RES-JB
    11. 6070
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    Explanations

    phrases indicating the presence or absence of specific situations or conditions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the occurrence or history of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owe
    -0.70
    azon
    -0.68
    asio
    -0.66
    SEA
    -0.66
     Borders
    -0.64
    "},{"
    -0.64
     Tickets
    -0.64
    ooters
    -0.63
    FW
    -0.62
     Accessories
    -0.61
    POSITIVE LOGITS
     considerable
    0.96
     setbacks
    0.96
     sporadic
    0.96
     tremendous
    0.95
     plenty
    0.95
     speculation
    0.95
     renewed
    0.94
     bouts
    0.92
     concerted
    0.92
     uproar
    0.90
    Activations Density 0.062%

    No Known Activations