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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. 8-RES-JB
    11. 23786
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    Explanations

    mentions of sporting clubs and players, especially ones related to 'Deporivo'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports and physical activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SOURCE
    -0.64
     Edison
    -0.63
     Odin
    -0.63
    rawdownloadcloneembedreportprint
    -0.60
     Benz
    -0.60
    agascar
    -0.60
     Griffith
    -0.60
    RESULTS
    -0.59
    fork
    -0.58
     Hollande
    -0.58
    POSITIVE LOGITS
    ements
    0.86
    aneous
    0.84
    ados
    0.83
    ascript
    0.82
    glers
    0.78
    ateurs
    0.78
    ement
    0.78
    atory
    0.77
    ivable
    0.76
    lishes
    0.73
    Activations Density 0.076%

    No Known Activations