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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. 10-RES-JB
    11. 4718
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    Explanations

    instances where something is done or authorized by a specific individual or group

    oai_token-act-pair · gpt-3.5-turbo

    instances of the article "a" followed by various descriptors, indicating a focus on specific groups, votes, and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Contents
    -0.75
    ographs
    -0.75
    peak
    -0.74
    evidence
    -0.73
    dates
    -0.73
    tones
    -0.72
     indicators
    -0.71
    ombat
    -0.69
     Occupations
    -0.69
    aus
    -0.69
    POSITIVE LOGITS
     combination
    1.16
     consortium
    1.05
     mysterious
    1.02
     handful
    0.97
     trio
    0.92
     clever
    0.91
     mixture
    0.91
     cabal
    0.89
     dozen
    0.87
     variety
    0.87
    Activations Density 0.151%

    No Known Activations