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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. 8-RES-JB
    11. 10110
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    Explanations

    numeric values in the format of "X - Y" where X and Y are numbers

    oai_token-act-pair · gpt-3.5-turbo

    numeric data and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hower
    -0.69
    ãĥ¼ãĥĨ
    -0.68
    worldly
    -0.64
     Predator
    -0.61
     coli
    -0.61
    querque
    -0.58
    TEXTURE
    -0.58
    ysis
    -0.57
     omission
    -0.56
    stadt
    -0.56
    POSITIVE LOGITS
    inches
    0.77
    gall
    0.74
    ĵĺ
    0.73
    ifty
    0.73
    ingers
    0.71
    ongyang
    0.71
    inning
    0.68
    reau
    0.68
    brother
    0.68
    illet
    0.67
    Activations Density 0.156%

    No Known Activations