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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. 3-RES-JB
    11. 5810
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    Explanations

    phrases with the word "numerous"

    oai_token-act-pair · gpt-3.5-turbo

    the word "numerous" to identify references to abundance or frequency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    robe
    -0.78
    atum
    -0.77
    ppers
    -0.74
    pper
    -0.73
    iman
    -0.70
    heed
    -0.69
    enders
    -0.68
    fter
    -0.67
    tre
    -0.66
    atche
    -0.64
    POSITIVE LOGITS
     rounds
    0.90
     occurrences
    0.88
     iterations
    0.87
     occasions
    0.84
     hundred
    0.83
     thousand
    0.82
     instances
    0.82
     times
    0.81
     repet
    0.80
     facets
    0.79
    Activations Density 0.014%

    No Known Activations