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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. 1120
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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 @ 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
    started
    -0.74
    fixes
    -0.62
    Ñĥ
    -0.60
     Tee
    -0.59
    ITED
    -0.58
    lished
    -0.55
     Deaths
    -0.55
    changed
    -0.55
    itia
    -0.55
     Pigs
    -0.54
    POSITIVE LOGITS
     unsu
    1.30
     impossible
    1.15
     susceptible
    1.14
     impractical
    1.12
     difficult
    1.11
     ineligible
    1.10
     unus
    1.05
     harder
    1.03
     easier
    1.03
     unfit
    1.01
    Activations Density 0.082%

    No Known Activations