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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. 6887
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    Explanations

    dates, times, and locations of events or gatherings

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "at" in relation to events and their locations or times

    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
    heet
    -0.79
    xual
    -0.76
    HTTP
    -0.76
    catentry
    -0.74
     complicate
    -0.70
     shrug
    -0.69
    analysis
    -0.67
    umatic
    -0.66
     redistributed
    -0.66
    VIDEO
    -0.66
    POSITIVE LOGITS
    rium
    1.18
     noon
    1.06
     Hof
    1.06
     Wembley
    1.03
     Hilton
    1.01
     Georgetown
    0.96
     Disneyland
    0.95
     midnight
    0.95
     Fort
    0.95
     Hotel
    0.93
    Activations Density 0.097%

    No Known Activations