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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. 22442
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    Explanations

    words related to characteristics or attributes

    oai_token-act-pair · gpt-3.5-turbo

    topics related to societal issues and challenges

    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
    awaru
    -0.45
    ITNESS
    -0.44
    edIn
    -0.43
    depending
    -0.43
    IBLE
    -0.40
    onis
    -0.40
    Wr
    -0.39
    ixir
    -0.38
    assador
    -0.38
    ç·
    -0.37
    POSITIVE LOGITS
     and
    1.39
     &
    1.26
     AND
    1.07
    and
    0.94
     etc
    0.87
     or
    0.86
    &
    0.83
    / 
    0.81
     et
    0.79
    /
    0.73
    Activations Density 2.291%

    No Known Activations