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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. 7-RES-JB
    11. 9992
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    Explanations

    specific mentions of a sports league or championship

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific sports league

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĥãĥī
    -0.74
    ¯¯¯¯
    -0.73
    ãĥ¼ãĥĨãĤ£
    -0.71
    sov
    -0.71
    fitting
    -0.70
    gaard
    -0.68
    gency
    -0.68
     diminishing
    -0.67
    berman
    -0.65
    glass
    -0.64
    POSITIVE LOGITS
    ECK
    1.05
    ANN
    1.01
    apeake
    1.00
    ANGE
    0.98
    APTER
    0.96
    OOL
    0.96
    ILL
    0.93
    ILD
    0.91
    avez
    0.89
    AIN
    0.87
    Activations Density 0.018%

    No Known Activations