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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
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    Explanations

    names containing the syllable "sen"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific name or title related to individuals in various contexts

    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
     Pwr
    -0.77
     tolerance
    -0.66
     reinforcement
    -0.65
     complement
    -0.63
     casing
    -0.63
     gaps
    -0.62
     grounding
    -0.61
     peripher
    -0.61
     limitations
    -0.61
     associated
    -0.61
    POSITIVE LOGITS
    pai
    1.42
    iors
    1.11
    escent
    1.05
    ior
    1.04
    ault
    1.04
    seless
    1.03
    sen
    1.03
    egal
    0.94
    nit
    0.92
    vironment
    0.89
    Activations Density 0.004%

    No Known Activations