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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. 1-RES-JB
    11. 2595
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    Explanations

    the word "midst."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "midst"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izations
    -0.72
    orem
    -0.67
    protein
    -0.62
    exempt
    -0.61
    ticket
    -0.61
    ISE
    -0.60
    isher
    -0.60
    irl
    -0.60
    ggies
    -0.60
    immers
    -0.59
    POSITIVE LOGITS
    pace
    0.95
    ï¸
    0.86
    nown
    0.85
    chool
    0.81
    paces
    0.80
    insula
    0.79
    borough
    0.76
     midst
    0.76
    rils
    0.75
    cape
    0.75
    Activations Density 0.007%

    No Known Activations