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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. 9097
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    lain
    -0.71
     upfront
    -0.64
     isEnabled
    -0.64
     Secrets
    -0.62
     encour
    -0.62
     negotiator
    -0.61
     quantities
    -0.61
     unanswered
    -0.61
     PRESS
    -0.61
     DRAG
    -0.60
    POSITIVE LOGITS
    actively
    1.58
    fitted
    1.47
    active
    1.41
    spective
    1.37
    fit
    1.34
    grade
    1.26
    fitting
    1.24
    fits
    1.21
    spection
    1.16
    gradation
    1.04
    Activations Density 0.037%

    No Known Activations