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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. 4921
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    Explanations

    phrases related to achievement and success

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing significant actions or contributions

    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
    wr
    -0.73
    Autom
    -0.66
    scl
    -0.65
    guards
    -0.64
    times
    -0.64
    enhagen
    -0.64
    levels
    -0.64
    oran
    -0.62
    then
    -0.62
    enance
    -0.62
    POSITIVE LOGITS
     mistake
    1.14
     mockery
    1.11
     comeback
    1.09
     difference
    1.08
     contribution
    1.05
     fuss
    1.02
     statement
    1.02
     distinction
    0.96
     concerted
    0.96
     pilgrimage
    0.95
    Activations Density 0.063%

    No Known Activations