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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. 7029
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    Explanations

    phrases related to conclusive actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases containing "and" followed by numerical counts

    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
    YC
    -0.78
    cy
    -0.74
    holding
    -0.74
    ipel
    -0.73
    orio
    -0.72
    >[
    -0.70
    ying
    -0.70
    ies
    -0.69
    YING
    -0.69
    mining
    -0.68
    POSITIVE LOGITS
     foremost
    0.99
     efficiently
    0.87
     furious
    0.83
     surely
    0.74
     decisively
    0.74
     cheaply
    0.73
     prosper
    0.73
     manifold
    0.73
     rightly
    0.71
     shame
    0.71
    Activations Density 0.069%

    No Known Activations