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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. 3-RES-JB
    11. 23327
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    Explanations

    phrases indicating a thorough investigation or examination

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "thoroughly" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    artifacts
    -0.70
    ERY
    -0.67
    AMY
    -0.65
     commandments
    -0.63
    ocene
    -0.63
    */(
    -0.63
    hao
    -0.63
    olan
    -0.63
     timelines
    -0.62
    rules
    -0.62
    POSITIVE LOGITS
    ãĤ£
    0.94
    bred
    0.82
    vier
    0.80
    rehensive
    0.80
    lishes
    0.79
     acquainted
    0.77
    ãĤ©
    0.76
     entertained
    0.75
     satisfied
    0.75
     enjoyed
    0.74
    Activations Density 0.009%

    No Known Activations