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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. 16978
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    Explanations

    terms related to recreational activities and venues

    oai_token-act-pair · gpt-3.5-turbo

    references to bowling and related activities

    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
    oral
    -0.83
    eanor
    -0.74
    aunder
    -0.73
    inctions
    -0.70
    afort
    -0.70
    ords
    -0.66
    alde
    -0.65
    inction
    -0.65
    姫
    -0.65
    icipated
    -0.64
    POSITIVE LOGITS
     bowling
    1.06
     alley
    0.88
    glers
    0.87
    stable
    0.81
    bats
    0.78
    ball
    0.78
     lanes
    0.77
     nood
    0.76
    zag
    0.74
    halla
    0.72
    Activations Density 0.009%

    No Known Activations