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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. 4-RES-JB
    11. 20487
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    INDEX
    Explanations

    references to different types of screenings and tests

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "screening" and its variations

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

    No Comments

    Negative Logits
    lly
    -0.79
    rontal
    -0.73
    odic
    -0.68
    acia
    -0.67
    rian
    -0.66
    ciating
    -0.64
    isin
    -0.64
    wp
    -0.63
    cyclopedia
    -0.63
    enny
    -0.62
    POSITIVE LOGITS
     screenings
    1.50
     screening
    1.38
     screened
    1.00
     screens
    0.89
     Screen
    0.82
     screen
    0.76
    Screen
    0.76
     vouchers
    0.71
     theaters
    0.70
     mamm
    0.68
    Activations Density 0.008%

    No Known Activations