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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8828
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    INDEX
    Explanations

    imperatives or questions requesting action or information

    oai_token-act-pair · gpt-3.5-turbo

    interrogative phrases and elements indicating state or existence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     alot
    -0.78
     doesnt
    -0.74
    nor
    -0.70
    erent
    -0.68
     didnt
    -0.66
     dont
    -0.65
    other
    -0.62
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.60
    DragonMagazine
    -0.59
     independ
    -0.59
    POSITIVE LOGITS
    —"
    0.88
    .
    0.80
    —
    0.79
     —
    0.78
    ;
    0.73
    .)
    0.73
    !
    0.72
    :
    0.71
     --
    0.69
    ,—
    0.67
    Activations Density 0.872%

    No Known Activations