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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. 7914
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    Explanations

    mentions of student-athletes and athletic activities

    oai_token-act-pair · gpt-3.5-turbo

    references to athletics or student-athletes

    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
     shorth
    -0.76
     Reloaded
    -0.74
    ITED
    -0.69
    enhagen
    -0.68
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.67
     Wizard
    -0.62
    LOAD
    -0.61
     beans
    -0.60
     Gemini
    -0.60
     mosaic
    -0.58
    POSITIVE LOGITS
    urst
    1.12
    aniel
    1.05
    ouse
    1.05
    lete
    1.00
    ulhu
    0.98
    reshold
    0.97
    istle
    0.95
    itect
    0.94
    omas
    0.93
    opter
    0.91
    Activations Density 0.023%

    No Known Activations