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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. 7-RES-JB
    11. 9933
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    Explanations

    phrases related to involvement in various activities or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating involvement in various activities or incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ratulations
    -0.79
    uses
    -0.70
     grate
    -0.64
    iren
    -0.62
     succumb
    -0.61
    ense
    -0.61
    LOG
    -0.60
     condemns
    -0.60
     premiered
    -0.60
     utilizes
    -0.60
    POSITIVE LOGITS
    ordinate
    0.90
     negotiations
    0.80
     affairs
    0.77
     constructing
    0.77
    acas
    0.77
    breeding
    0.76
    pport
    0.75
     maintaining
    0.75
     discussions
    0.75
     transporting
    0.74
    Activations Density 0.097%

    No Known Activations