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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. 0-RES-JB
    11. 7613
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    Explanations

    locations or places mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    references to physical locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mson
    -0.74
    ighters
    -0.73
    eches
    -0.69
    iots
    -0.68
     applaud
    -0.67
    ethy
    -0.65
    ult
    -0.64
    ocious
    -0.64
    serious
    -0.64
    apers
    -0.64
    POSITIVE LOGITS
     location
    3.65
     locations
    2.55
    location
    2.52
     Location
    2.28
    Location
    2.12
     Locations
    1.94
     locale
    1.81
     destination
    1.68
     proximity
    1.54
     whereabouts
    1.53
    Activations Density 0.015%

    No Known Activations