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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 11655
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    Explanations

    terms related to specific geographical locations, specifically focusing on locations in India like Jammu and Kashmir

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographical regions, particularly Jammu and Kashmir

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ucl
    -0.69
    tering
    -0.68
    rigan
    -0.65
    blocking
    -0.63
    arette
    -0.63
    arded
    -0.63
    ibur
    -0.62
    lass
    -0.62
    rine
    -0.61
    leaders
    -0.60
    POSITIVE LOGITS
     &
    0.90
    racuse
    0.81
    terday
    0.81
    --+
    0.79
    ãĥ¼ãĥĨãĤ£
    0.75
    ï¸
    0.74
    aneers
    0.73
    / 
    0.72
    Ń·
    0.72
    Ô
    0.71
    Activations Density 0.108%

    No Known Activations