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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. 11160
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    INDEX
    Explanations

    numbers expressed as percentages

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to economic statistics

    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
    deals
    -0.60
     somew
    -0.55
    lier
    -0.55
     gratification
    -0.52
     scen
    -0.50
     pecul
    -0.50
     Detect
    -0.50
     versa
    -0.50
     horm
    -0.49
    bys
    -0.49
    POSITIVE LOGITS
     gross
    0.68
    average
    0.65
     total
    0.64
     average
    0.60
    ô
    0.59
     ranked
    0.59
     Gross
    0.58
    gross
    0.58
    adjusted
    0.58
     surveyed
    0.58
    Activations Density 0.632%

    No Known Activations