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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. 4-RES-JB
    11. 9079
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    Explanations

    words related to a significant degree or intensity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "steep" in various contexts

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

    No Comments

    Negative Logits
    aurus
    -0.80
    ignty
    -0.77
     Machina
    -0.75
    imester
    -0.71
    ufact
    -0.70
    uve
    -0.69
    phis
    -0.68
    ubb
    -0.67
    avez
    -0.65
     SPORTS
    -0.64
    POSITIVE LOGITS
    ly
    0.96
     gradient
    0.92
     slope
    0.88
    ened
    0.88
     steep
    0.86
     slopes
    0.85
     ascent
    0.80
    tro
    0.78
    ed
    0.78
    ening
    0.77
    Activations Density 0.009%

    No Known Activations