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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. 23295
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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
    worms
    -0.64
    SPONSORED
    -0.61
     Poles
    -0.61
     ending
    -0.61
     Horses
    -0.59
    realDonaldTrump
    -0.57
     Ashe
    -0.57
     twist
    -0.57
    MENT
    -0.56
     vulner
    -0.56
    POSITIVE LOGITS
    riger
    1.32
    ract
    1.32
    eree
    1.31
    lection
    1.31
    lections
    1.30
    resh
    1.29
    ashion
    1.27
    ocused
    1.27
    lected
    1.25
    actor
    1.24
    Activations Density 0.035%

    No Known Activations