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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
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    Explanations

    distances in miles between locations

    oai_token-act-pair · gpt-3.5-turbo

    references to distance or being far from a location

    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
    uv
    -0.70
    nce
    -0.67
    bye
    -0.67
    imar
    -0.67
    may
    -0.66
    isms
    -0.66
    chini
    -0.64
    ãĤ±
    -0.64
    Ol
    -0.64
    cop
    -0.63
    POSITIVE LOGITS
    aneously
    0.72
    lier
    0.71
    sighted
    0.70
    ruck
    0.67
    heid
    0.67
    angs
    0.66
     closest
    0.65
     landfall
    0.63
     from
    0.60
     arrival
    0.60
    Activations Density 0.032%

    No Known Activations