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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. 9-RES-JB
    11. 4807
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    Explanations

    choices between different options or alternatives

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss choices and decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    metadata
    -0.87
    estones
    -0.87
    meta
    -0.81
    notice
    -0.74
    so
    -0.71
    UTC
    -0.70
    scope
    -0.69
    estone
    -0.69
    ookie
    -0.68
    bi
    -0.67
    POSITIVE LOGITS
     either
    1.12
    Either
    1.03
     Either
    0.99
    either
    0.89
     amput
    0.88
     surrender
    0.84
     risking
    0.83
    Option
    0.82
     option
    0.80
     accept
    0.78
    Activations Density 0.230%

    No Known Activations