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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. 4-RES-JB
    11. 6330
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    Explanations

    mentions of sports, particularly baseball with a focus on batting

    oai_token-act-pair · gpt-3.5-turbo

    terms related to batting statistics in baseball

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

    No Comments

    Negative Logits
    ovo
    -0.75
    isin
    -0.74
    edom
    -0.74
    oner
    -0.68
    resy
    -0.67
    earchers
    -0.67
    patient
    -0.65
    anson
    -0.64
    uther
    -0.64
    ship
    -0.64
    POSITIVE LOGITS
     batting
    1.26
     batted
    1.09
     bowling
    0.90
     bats
    0.84
    BIP
    0.83
     cages
    0.81
     outfielder
    0.81
     catcher
    0.79
     hitters
    0.76
     infield
    0.75
    Activations Density 0.010%

    No Known Activations