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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. 10-RES-JB
    11. 7997
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    INDEX
    Explanations

    keywords related to electronic products like "Av" as seen in the activations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of high-grossing films or franchises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     stimulus
    -0.64
     laying
    -0.61
     GDDR
    -0.60
    zsche
    -0.60
    ptives
    -0.60
     sanity
    -0.57
    omething
    -0.57
     inaccessible
    -0.56
     measuring
    -0.56
     Mori
    -0.56
    POSITIVE LOGITS
    ocado
    1.41
    atars
    1.30
    oided
    1.27
    ril
    1.21
    iator
    1.20
    iation
    1.18
    raham
    1.17
    iations
    1.13
    atar
    1.13
    ascular
    1.08
    Activations Density 0.024%

    No Known Activations