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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. 8412
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    INDEX
    Explanations

    phrases introducing justifications or reasons

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "given"

    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
    inse
    -0.84
    okes
    -0.83
    neys
    -0.80
    inates
    -0.76
    ereo
    -0.76
    quer
    -0.74
    ymes
    -0.73
    inis
    -0.73
    eware
    -0.72
    psc
    -0.72
    POSITIVE LOGITS
     ample
    0.92
     circumstances
    0.89
     assurances
    0.86
     precedent
    0.85
     precedence
    0.83
     setbacks
    0.81
     lack
    0.81
     prominence
    0.75
     sheer
    0.75
     constraints
    0.75
    Activations Density 0.022%

    No Known Activations