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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. 1-RES-JB
    11. 16008
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    INDEX
    Explanations

    phrases introducing remarks or information, such as "noting that"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "noting" to indicate emphasis or reference in statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ogg
    -0.72
    heed
    -0.72
    car
    -0.71
    diagn
    -0.71
    gamer
    -0.70
    talk
    -0.69
    oxy
    -0.69
    sett
    -0.68
    oha
    -0.67
     turf
    -0.67
    POSITIVE LOGITS
     noting
    1.10
     mentioning
    0.80
    eworthy
    0.77
     caveats
    0.73
     notes
    0.71
    ury
    0.69
    .>>
    0.68
     noted
    0.68
     pointing
    0.67
     Notes
    0.67
    Activations Density 0.009%

    No Known Activations