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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. 6-RES-JB
    11. 7447
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    Explanations

    references to competitive sports matches

    oai_token-act-pair · gpt-3.5-turbo

    references to specific matches in a competitive context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.77
    irtual
    -0.70
    achev
    -0.70
    ible
    -0.68
    umatic
    -0.64
    umn
    -0.64
    raft
    -0.63
    ħĭ
    -0.63
    wcs
    -0.63
    asel
    -0.62
    POSITIVE LOGITS
    making
    0.98
    maker
    0.93
    makers
    0.90
    nings
    0.84
    eer
    0.77
    match
    0.75
    sticks
    0.74
    eers
    0.73
    stick
    0.72
     matches
    0.72
    Activations Density 0.026%

    No Known Activations