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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. 4-RES-JB
    11. 7068
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    Explanations

    phrases related to progress or advancement

    oai_token-act-pair · gpt-3.5-turbo

    phrases concerning progress and moving ahead

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

    No Comments

    Negative Logits
    azo
    -0.71
    insk
    -0.70
    rip
    -0.65
    lez
    -0.64
    chens
    -0.63
    xs
    -0.62
    anguage
    -0.60
    LES
    -0.59
    colo
    -0.59
    ENA
    -0.58
    POSITIVE LOGITS
    olicy
    0.89
     puberty
    0.82
    wards
    0.80
    stairs
    0.77
    WARD
    0.75
    stage
    0.75
    uberty
    0.72
    gradation
    0.68
    comings
    0.67
    roth
    0.67
    Activations Density 0.016%

    No Known Activations