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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. 0-RES-JB
    11. 9708
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    Explanations

    the word "stop" with varying degrees of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "stop."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mort
    -0.69
    Reviewer
    -0.69
     Feldman
    -0.66
    pes
    -0.64
     Counsel
    -0.63
    mails
    -0.63
    anka
    -0.62
    otyp
    -0.60
    archs
    -0.59
     packs
    -0.59
    POSITIVE LOGITS
     stop
    3.53
    stop
    2.79
     stops
    2.66
     Stop
    2.49
    Stop
    2.33
     STOP
    2.29
     halt
    2.20
     stopping
    2.16
     stopped
    1.96
     cease
    1.70
    Activations Density 0.019%

    No Known Activations