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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. 5-RES-JB
    6. 19785
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    INDEX
    Explanations

    proper nouns such as names of locations and organizations

    oai_token-act-pair · gpt-3.5-turbo

    periods and punctuation marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hiba
    -0.78
    eatures
    -0.72
     eleph
    -0.68
    cius
    -0.67
     advis
    -0.66
     fulfillment
    -0.66
     appropriate
    -0.66
     refres
    -0.65
    idious
    -0.63
    rimp
    -0.62
    POSITIVE LOGITS
     Pool
    0.78
    McC
    0.77
    O
    0.76
     PARK
    0.73
     Pryor
    0.71
    MX
    0.71
     Mellon
    0.70
    J
    0.70
     Tribe
    0.68
    orks
    0.68
    Activations Density 0.027%

    No Known Activations