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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. 6-RES-JB
    11. 7763
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    INDEX
    Explanations

    expressions of strong emotions like exclamations or statements of disagreement

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks that convey strong emotions or emphasis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oug
    -0.73
    ciplinary
    -0.70
     brill
    -0.70
    hemer
    -0.70
    ancies
    -0.69
    Ļ½
    -0.69
     strugg
    -0.68
     honoured
    -0.68
    omorphic
    -0.67
    imes
    -0.67
    POSITIVE LOGITS
    /"
    0.92
     âĢķ
    0.84
     Saying
    0.76
     Answer
    0.74
     Tears
    0.74
    Pause
    0.74
     ["
    0.73
    aspx
    0.73
     Sometimes
    0.73
     Everyone
    0.72
    Activations Density 0.146%

    No Known Activations