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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. 8-RES-JB
    11. 11407
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    INDEX
    Explanations

    phrases related to taking action or providing guidance

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating predictions or recommendations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     refusing
    -0.78
     withdrawing
    -0.74
     negoti
    -0.72
     wielding
    -0.70
     negotiating
    -0.69
     insisting
    -0.69
    yss
    -0.68
     choosing
    -0.68
    ilaterally
    -0.67
     powerless
    -0.65
    POSITIVE LOGITS
     suffice
    0.98
     offend
    0.79
     resonate
    0.79
     someday
    0.76
     horr
    0.73
     intrigue
    0.73
     intrig
    0.72
     annoy
    0.71
     amuse
    0.70
    fur
    0.70
    Activations Density 0.349%

    No Known Activations