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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. 4-RES-JB
    11. 22429
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    Explanations

    keywords prompting action with an imperative tone

    oai_token-act-pair · gpt-3.5-turbo

    phrases containing the word "can."

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

    No Comments

    Negative Logits
     Mant
    -0.67
    burgh
    -0.63
     revision
    -0.63
     guarding
    -0.62
    é¾įå¥ij士
    -0.60
    cule
    -0.59
    furt
    -0.59
     Moz
    -0.58
     Federation
    -0.56
     Gateway
    -0.56
    POSITIVE LOGITS
    't
    1.47
    NOT
    1.09
    berra
    1.05
    adian
    1.02
    isters
    0.93
    tera
    0.88
    ister
    0.85
     easily
    0.84
     optionally
    0.84
    atell
    0.84
    Activations Density 0.101%

    No Known Activations