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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. 10713
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    the glyph "âĢĻ"

    oai_token-act-pair · gpt-3.5-turbo

    negations in statements

    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
     Fuji
    -0.64
     capsule
    -0.63
     blitz
    -0.62
     exploits
    -0.62
     shifts
    -0.62
     jog
    -0.62
     contrasts
    -0.61
     wonders
    -0.59
     looms
    -0.59
     flies
    -0.59
    POSITIVE LOGITS
    ï¸ı
    0.95
    minent
    0.88
    tre
    0.86
    t
    0.83
    exempt
    0.82
    tal
    0.80
    sufficient
    0.80
    vable
    0.79
    sure
    0.79
    ti
    0.78
    Activations Density 0.088%

    No Known Activations