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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. 11-RES-JB
    11. 9083
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    INDEX
    Explanations

    instances where the number "100" is mentioned with varied activation levels

    oai_token-act-pair · gpt-3.5-turbo

    numeric representations of confidence or certainty percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olas
    -0.82
    rift
    -0.69
     brill
    -0.66
    mare
    -0.66
     tilt
    -0.62
    letal
    -0.61
    anian
    -0.60
    netflix
    -0.60
    FIELD
    -0.57
     ware
    -0.57
    POSITIVE LOGITS
    %
    1.28
    %"
    1.25
    %:
    1.22
    00000
    1.15
    %.
    1.15
    %,
    1.13
    %;
    1.12
    %-
    1.02
    %]
    1.01
     percent
    1.01
    Activations Density 0.072%

    No Known Activations