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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. 11-RES-JB
    11. 6911
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    Explanations

    references to sports conferences, specifically the "Big 8" and "Big 9" conferences

    oai_token-act-pair · gpt-3.5-turbo

    references to collegiate athletic conferences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fully
    -0.79
    theless
    -0.75
    istry
    -0.71
    fulness
    -0.66
     anonymity
    -0.66
    lessness
    -0.66
     constit
    -0.65
    auga
    -0.64
    lessly
    -0.63
    ability
    -0.63
    POSITIVE LOGITS
    gest
    1.34
    ger
    1.04
    gie
    1.04
     Brother
    1.03
    gins
    0.97
     Finish
    0.95
     Daddy
    0.95
    gio
    0.95
     Bang
    0.94
    gs
    0.93
    Activations Density 0.024%

    No Known Activations