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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. 9-RES-JB
    11. 16308
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific character or entity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cind
    -0.76
     Noir
    -0.73
     Emin
    -0.68
     jams
    -0.62
    wcsstore
    -0.62
     Siber
    -0.61
     attributable
    -0.61
     bottleneck
    -0.60
     ponies
    -0.58
     Wald
    -0.57
    POSITIVE LOGITS
    PDATED
    1.34
    seless
    1.19
    pper
    1.18
    nexpected
    1.17
    prising
    1.16
    CLA
    1.13
    zbek
    1.10
    berman
    1.05
    pperc
    1.03
    prise
    1.02
    Activations Density 0.026%

    No Known Activations