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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. 6630
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    INDEX
    Explanations

    phrases indicating decision-making processes or options

    oai_token-act-pair · gpt-3.5-turbo

    references to making choices or presenting options

    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
    rote
    -0.85
    rites
    -0.81
    metadata
    -0.78
    icans
    -0.76
    nces
    -0.71
     samples
    -0.70
    stories
    -0.68
    estones
    -0.67
    encers
    -0.66
    eatures
    -0.66
    POSITIVE LOGITS
    Either
    1.25
     Either
    1.21
    Option
    1.07
     either
    1.06
    either
    1.03
     surrender
    0.91
     choose
    0.88
     Option
    0.87
     choosing
    0.87
     abst
    0.83
    Activations Density 0.241%

    No Known Activations