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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. 24264
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    Explanations

    mentions of specific sports seasons

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports seasons

    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
     encl
    -0.76
    creen
    -0.74
    mercial
    -0.72
    pressed
    -0.71
    hai
    -0.66
    CHO
    -0.64
     sten
    -0.64
    tap
    -0.62
    gall
    -0.61
     toes
    -0.61
    POSITIVE LOGITS
     opener
    0.98
     finale
    0.85
    ı
    0.82
    orsi
    0.76
    ibia
    0.72
    é¾
    0.71
    cap
    0.70
    uably
    0.67
    Coach
    0.67
     Playoffs
    0.66
    Activations Density 0.035%

    No Known Activations