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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. 15961
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    Explanations

    phrases related to significant entities or achievements

    oai_token-act-pair · gpt-3.5-turbo

    references to a wide variety of things deemed significant or notable on a global scale

    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
    merce
    -0.92
    etsk
    -0.84
    sbm
    -0.83
    urat
    -0.82
    urations
    -0.81
    apego
    -0.80
    EStreamFrame
    -0.80
    uctor
    -0.78
    Tags
    -0.77
    imon
    -0.75
    POSITIVE LOGITS
     Indies
    0.75
     premiere
    0.75
     championship
    0.71
     economy
    0.70
    arium
    0.69
     Bahá
    0.69
     arena
    0.68
     jun
    0.67
    liness
    0.67
     marketplace
    0.66
    Activations Density 0.047%

    No Known Activations