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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. 18694
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    oai_token-act-pair · gpt-3.5-turbo

    punctuation and common conjunctions

    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
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    Negative Logits
    igers
    -0.67
     Compensation
    -0.61
     leve
    -0.59
    pard
    -0.59
     Balanced
    -0.57
     corrections
    -0.55
    APD
    -0.54
    housing
    -0.53
     Sabha
    -0.53
    ãģ®å®
    -0.53
    POSITIVE LOGITS
     uh
    0.78
    rogen
    0.75
    wait
    0.73
    pless
    0.72
    opic
    0.68
    pires
    0.68
    pired
    0.66
     um
    0.66
    acho
    0.63
    cut
    0.63
    Activations Density 0.487%

    No Known Activations