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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. 3-RES-JB
    11. 8400
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'b'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nomine
    -0.69
     explan
    -0.66
     Gutenberg
    -0.65
    æ©Ł
    -0.64
     Lauder
    -0.63
     insidious
    -0.62
     essence
    -0.62
    assetsadobe
    -0.61
     ORIG
    -0.61
     glow
    -0.60
    POSITIVE LOGITS
    rief
    1.28
    odies
    1.23
    attery
    1.12
    anned
    1.07
    raid
    1.06
    ibli
    1.05
    unker
    1.04
    akery
    1.04
    urt
    1.04
    orders
    1.04
    Activations Density 0.038%

    No Known Activations