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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. 7-RES-JB
    11. 9912
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    Explanations

    pitching statistics related to earned run average (ERA)

    oai_token-act-pair · gpt-3.5-turbo

    baseball statistics, specifically earned run averages (ERA) and associated metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edi
    -0.79
    ulhu
    -0.79
    ridges
    -0.76
    rum
    -0.75
    don
    -0.74
    zhou
    -0.73
    goers
    -0.72
    tan
    -0.71
    sight
    -0.71
    eworld
    -0.70
    POSITIVE LOGITS
     ERA
    0.91
    BIP
    0.87
     pitched
    0.86
    ATING
    0.75
    ATED
    0.73
    VER
    0.72
     Rating
    0.72
    +.
    0.71
    VERS
    0.71
    +,
    0.71
    Activations Density 0.021%

    No Known Activations