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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. 24251
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    Explanations

    phrases related to scheduling or events occurring at specific times

    oai_token-act-pair · gpt-3.5-turbo

    references to scheduled events or games, particularly fixtures in sports contexts

    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
    rill
    -0.74
    imb
    -0.74
    son
    -0.72
    otropic
    -0.72
    cean
    -0.70
    ceed
    -0.70
    onson
    -0.69
    ooks
    -0.69
    hammad
    -0.69
    thodox
    -0.68
    POSITIVE LOGITS
     fixtures
    1.10
     fixture
    1.05
    encies
    0.73
    wcsstore
    0.73
     conduc
    0.71
    enance
    0.71
    weights
    0.70
    ency
    0.69
    pole
    0.68
    ttes
    0.66
    Activations Density 0.010%

    No Known Activations