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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. 1-RES-JB
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    Explanations

    references to sports teams, particularly the 49ers

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams, particularly the 49ers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Atlantic
    -0.67
     conviction
    -0.66
     dissolution
    -0.66
     restraint
    -0.65
     fractured
    -0.63
     decom
    -0.59
     same
    -0.59
     corrective
    -0.58
     scrub
    -0.58
     reconstruction
    -0.58
    POSITIVE LOGITS
    mith
    1.30
    poon
    1.15
    kie
    1.09
    ucker
    1.04
    haw
    1.03
    pace
    0.99
    paces
    0.98
    berger
    0.94
    poons
    0.94
    linger
    0.91
    Activations Density 0.033%

    No Known Activations