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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. 12296
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    INDEX
    Explanations

    phrases where someone is speaking or being quoted

    oai_token-act-pair · gpt-3.5-turbo

    phrases attributed to someone's speech or statements

    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
    à¦
    -0.75
    Fit
    -0.69
    arnaev
    -0.67
    Pont
    -0.66
    AMY
    -0.66
    Bed
    -0.65
    ppings
    -0.64
    Bound
    -0.63
    pend
    -0.63
    Lens
    -0.63
    POSITIVE LOGITS
     goodbye
    0.95
     sarcast
    0.87
     bluntly
    0.85
     emphatically
    0.80
     afterward
    0.76
     afterwards
    0.76
     anecd
    0.75
     hello
    0.70
     aloud
    0.68
     repeatedly
    0.67
    Activations Density 0.123%

    No Known Activations