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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
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    Explanations

    numbers related to some entity or object named "Lumber"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "number" and its variations

    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
    ellen
    -0.68
     Gutenberg
    -0.66
    oward
    -0.65
     Petra
    -0.65
    ombies
    -0.61
    DNA
    -0.61
    ogene
    -0.61
     Franken
    -0.60
     Roche
    -0.59
    beh
    -0.59
    POSITIVE LOGITS
    deen
    0.84
    jack
    0.81
    umber
    0.80
    maid
    0.76
    berry
    0.74
    yard
    0.73
    tainment
    0.73
    batch
    0.73
    parts
    0.72
    lime
    0.72
    Activations Density 0.015%

    No Known Activations