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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. 8036
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    Explanations

    numerical values that might represent sports scores or statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and statistics related to sports teams

    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
     character
    -0.65
    catentry
    -0.63
    soDeliveryDate
    -0.57
     cocktails
    -0.56
     prompt
    -0.56
    pmwiki
    -0.56
     bearer
    -0.55
     steroids
    -0.55
     attendant
    -0.55
    SPONSORED
    -0.55
    POSITIVE LOGITS
    ±
    0.77
     Deaths
    0.68
     TOTAL
    0.66
     ±
    0.66
     Pwr
    0.66
    %
    0.66
     Obj
    0.65
     0
    0.65
    nil
    0.63
     +/-
    0.63
    Activations Density 0.040%

    No Known Activations