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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. 7-RES-JB
    11. 4072
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    Explanations

    phrases related to avoiding consequences or breaking rules

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating evasion or escaping consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dahl
    -0.66
     banks
    -0.61
     succession
    -0.61
     Bradley
    -0.60
     Bulg
    -0.60
     Merrill
    -0.59
    audi
    -0.59
     Berger
    -0.58
    Interstitial
    -0.57
     fullback
    -0.57
    POSITIVE LOGITS
    bred
    0.75
     sidx
    0.75
    ivated
    0.74
    entary
    0.73
    paio
    0.70
    oglu
    0.69
    quick
    0.69
    iencies
    0.69
    itiveness
    0.68
    chy
    0.68
    Activations Density 0.066%

    No Known Activations