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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. 14294
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    Explanations

    the word "In"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "In."

    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
    edin
    -0.69
    pmwiki
    -0.67
    krit
    -0.66
    lov
    -0.66
    pta
    -0.64
    ppel
    -0.64
    ishops
    -0.64
    renheit
    -0.63
    ewski
    -0.63
    isode
    -0.63
    POSITIVE LOGITS
     sexes
    0.82
     genders
    0.80
     sides
    0.75
    ydia
    0.75
    iae
    0.70
    igator
    0.64
    otom
    0.64
    [_
    0.63
    igators
    0.59
    ometers
    0.59
    Activations Density 0.000%

    No Known Activations