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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. 4173
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and times associated with events

    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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    Negative Logits
     Boise
    -0.69
    Seattle
    -0.66
     Nashville
    -0.64
     Memphis
    -0.62
     concedes
    -0.62
    Atlanta
    -0.61
     Springfield
    -0.61
     Baltimore
    -0.61
     perman
    -0.61
     Charlottesville
    -0.60
    POSITIVE LOGITS
     tourist
    0.71
    idable
    0.69
    Ô
    0.66
    FINE
    0.66
    obbies
    0.65
    dayName
    0.64
    00007
    0.63
     ambassador
    0.62
    inguished
    0.62
     preparations
    0.61
    Activations Density 0.509%

    No Known Activations