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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    adjectives emphasizing thoroughness

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "thorough."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dust
    -0.66
     clicked
    -0.63
    Demand
    -0.62
     Rebels
    -0.61
     Tonight
    -0.60
     Lazarus
    -0.60
    artifacts
    -0.60
    orea
    -0.59
     DRAG
    -0.59
    qqa
    -0.58
    POSITIVE LOGITS
    bred
    1.22
     thorough
    1.15
    ness
    1.00
    fare
    0.94
    orough
    0.77
    nesses
    0.75
     examinations
    0.75
     completion
    0.74
    rehensive
    0.71
     acquaintance
    0.70
    Activations Density 0.003%

    No Known Activations