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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. 11-RES-JB
    11. 5639
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    INDEX
    Explanations

    locations or buildings

    oai_token-act-pair · gpt-3.5-turbo

    locations and places of significance or activity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xit
    -0.75
    utan
    -0.70
    hemy
    -0.70
    thood
    -0.70
     href
    -0.67
    ocre
    -0.66
    ilyn
    -0.65
     Synd
    -0.65
    Ô
    -0.63
    resy
    -0.62
    POSITIVE LOGITS
     gates
    1.45
     courtyard
    1.42
     premises
    1.39
     grounds
    1.39
     perimeter
    1.35
     walls
    1.33
     plaza
    1.26
     entrances
    1.25
     floor
    1.20
     clubhouse
    1.17
    Activations Density 0.281%

    No Known Activations