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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. 11472
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    Explanations

    financial and numerical information

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and connectives in numerical and economic contexts

    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
    onica
    -0.75
    lock
    -0.72
    irie
    -0.70
    odi
    -0.69
    ACTION
    -0.69
    meric
    -0.68
    locks
    -0.67
    itans
    -0.67
    meet
    -0.67
    icter
    -0.67
    POSITIVE LOGITS
     thus
    0.97
     consequently
    0.94
     thereby
    0.93
     hence
    0.93
     furthermore
    0.91
     culmin
    0.86
     employs
    0.86
     therefore
    0.84
     weighs
    0.83
     thence
    0.80
    Activations Density 0.192%

    No Known Activations