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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. 6-RES-JB
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    Explanations

    the word "interested"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "interested."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ework
    -0.71
    car
    -0.63
     stacked
    -0.63
    apple
    -0.62
    ania
    -0.62
     fabricated
    -0.60
    rome
    -0.59
    fall
    -0.58
    mit
    -0.58
    zan
    -0.58
    POSITIVE LOGITS
     warr
    0.74
    enza
    0.73
     interested
    0.70
    edIn
    0.69
    ij士
    0.69
    reprene
    0.69
    ="#
    0.66
    awaru
    0.65
    ATIVE
    0.64
    =#
    0.64
    Activations Density 0.019%

    No Known Activations