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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. 275
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    INDEX
    Explanations

    mentions of sports achievements and rankings

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports teams and standings

    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
    fulness
    -0.78
    ãĥĢ
    -0.77
    entimes
    -0.77
    conom
    -0.73
     Adin
    -0.72
    ishly
    -0.67
    ually
    -0.65
    earth
    -0.64
    aciously
    -0.62
    bane
    -0.61
    POSITIVE LOGITS
     list
    1.13
     lineup
    1.08
     rankings
    1.06
     fray
    1.02
     Top
    0.93
     roundup
    0.92
     mix
    0.92
     top
    0.90
     reckoning
    0.88
     prestigious
    0.88
    Activations Density 0.160%

    No Known Activations