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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. 10-RES-JB
    11. 5364
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    Explanations

    words related to outdoor activities and hobbies, particularly hunting, fishing, camping, and cycling

    oai_token-act-pair · gpt-3.5-turbo

    activities related to outdoor hobbies, particularly hunting and fishing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xus
    -0.83
    arial
    -0.81
    rez
    -0.77
    alse
    -0.77
    aments
    -0.76
    Reviewer
    -0.76
    witz
    -0.73
    wait
    -0.73
    ses
    -0.73
    pora
    -0.72
    POSITIVE LOGITS
     prowess
    1.01
     buddies
    1.00
     enthusiast
    0.95
     instructor
    0.92
     habits
    0.92
     techniques
    0.88
     enthusiasts
    0.87
     buddy
    0.86
    Tips
    0.85
     equipment
    0.85
    Activations Density 0.143%

    No Known Activations