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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. 6304
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    INDEX
    Explanations

    keywords related to opt-out promotions or offers in texts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "may" indicating possibility or permission

    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
    ging
    -0.78
     Fighter
    -0.70
    hran
    -0.69
     Bagg
    -0.68
     Buster
    -0.67
     Dirty
    -0.64
    performing
    -0.63
     Rah
    -0.62
     Hawks
    -0.61
     Tok
    -0.59
    POSITIVE LOGITS
    hap
    0.96
    adian
    0.94
    onna
    0.90
     optionally
    0.87
    nard
    0.87
    haps
    0.84
    weather
    0.84
    ADA
    0.80
    berra
    0.74
    afort
    0.74
    Activations Density 0.060%

    No Known Activations