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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. 8-RES-JB
    11. 10142
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    Explanations

    references to the number "30"

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and specific references to the number "30"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.90
    lar
    -0.88
    omial
    -0.86
    alis
    -0.77
    ality
    -0.77
    itives
    -0.77
    hers
    -0.77
    ation
    -0.76
    ates
    -0.76
    atis
    -0.72
    POSITIVE LOGITS
    fps
    0.88
    nm
    0.81
    mph
    0.75
     Seconds
    0.75
     seconds
    0.73
    %"
    0.72
    utical
    0.71
     Minutes
    0.71
     minutes
    0.70
    ¯¯
    0.68
    Activations Density 0.080%

    No Known Activations