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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. 16126
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    Explanations

    mentions of names or references related to specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    the word "sen" in various contexts, likely indicating a focus on references to senators or individuals with similar titles

    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
     Pwr
    -0.75
     tolerance
    -0.72
     heels
    -0.71
     mileage
    -0.66
     hitch
    -0.66
    tails
    -0.64
     reinforcement
    -0.63
     casing
    -0.63
     centimeters
    -0.62
     slack
    -0.62
    POSITIVE LOGITS
    pai
    1.54
    iors
    1.11
    escent
    1.11
    seless
    1.09
    vironment
    1.07
    iture
    1.06
    ior
    1.06
    ocide
    1.04
    ault
    1.03
    egal
    1.03
    Activations Density 0.006%

    No Known Activations