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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. 23083
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    INDEX
    Explanations

    features or characteristics associated with individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases related to labels and stereotypes

    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
    large
    -0.81
    usable
    -0.74
    ij
    -0.73
    range
    -0.73
    oho
    -0.71
    english
    -0.70
    ecause
    -0.69
    ensive
    -0.69
    CLOSE
    -0.68
    angan
    -0.68
    POSITIVE LOGITS
     extraord
    1.18
    gery
    1.05
    esses
    1.04
    hood
    1.03
    doms
    1.01
    ry
    0.95
     hordes
    0.94
    dom
    0.92
    isms
    0.91
    ism
    0.90
    Activations Density 0.350%

    No Known Activations