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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. 0-RES-JB
    11. 7894
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    INDEX
    Explanations

    mentions of a specific sports team

    oai_token-act-pair · gpt-3.5-turbo

    references to the Tottenham Hotspur football club

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ODY
    -0.85
    culus
    -0.77
    Steven
    -0.72
     disciplined
    -0.70
     Ved
    -0.70
     Steven
    -0.70
     Pagan
    -0.68
     Emerson
    -0.66
    organic
    -0.65
     Kelly
    -0.64
    POSITIVE LOGITS
     hots
    3.93
     Hots
    3.60
    hots
    2.15
    Wi
    1.12
     Kens
    1.04
     wi
    0.93
     WiFi
    0.93
     tether
    0.90
     wifi
    0.89
     kios
    0.86
    Activations Density 0.014%

    No Known Activations