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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. 3-RES-JB
    11. 9804
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    Explanations

    references to sports teams

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific sports teams and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    neys
    -1.04
    ney
    -0.92
    icles
    -0.86
    ipple
    -0.78
    abases
    -0.77
    agos
    -0.76
    ode
    -0.73
    bor
    -0.73
    edy
    -0.73
    eda
    -0.72
    POSITIVE LOGITS
     Avalanche
    1.21
    eers
    1.06
    eer
    0.94
     Rapids
    0.90
    Reviewer
    0.90
    CVE
    0.81
    DEN
    0.81
    eus
    0.80
     Franch
    0.80
    rely
    0.74
    Activations Density 0.031%

    No Known Activations