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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. 7-RES-JB
    11. 7970
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    Explanations

    phrases indicating going out of one's way or putting in extra effort to do something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating actions that involve going out

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cius
    -0.71
    Card
    -0.70
    cious
    -0.68
    hiba
    -0.67
    ignty
    -0.67
    Done
    -0.66
    Ire
    -0.65
    Cre
    -0.65
    Cle
    -0.64
    etsk
    -0.64
    POSITIVE LOGITS
    ranged
    0.82
    fitted
    0.75
     unnoticed
    0.68
     wagon
    0.67
    door
    0.66
     overboard
    0.65
    onda
    0.65
    skirts
    0.65
    vt
    0.64
    stand
    0.64
    Activations Density 0.049%

    No Known Activations