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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. 6-RES-JB
    11. 13960
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    Explanations

    words related to selection or choices

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the words "chosen" and "selected" indicating decision-making or selection processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    struct
    -0.67
    hibition
    -0.67
    Net
    -0.67
    dayName
    -0.65
    Bah
    -0.64
    qv
    -0.63
    phy
    -0.62
    MpServer
    -0.62
    pir
    -0.61
    doors
    -0.61
    POSITIVE LOGITS
     randomly
    0.92
     chosen
    0.82
     Selection
    0.80
    selection
    0.78
    picked
    0.77
     finalists
    0.76
     selected
    0.74
     selection
    0.71
     nominees
    0.70
     selections
    0.69
    Activations Density 0.033%

    No Known Activations