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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. 11-RES-JB
    11. 5555
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    Explanations

    text referring to meetings and interactions among individuals, including specifics like locations, names, and activities

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isations
    -0.81
     experiments
    -0.78
    icides
    -0.74
     MX
    -0.73
     experimented
    -0.72
    Application
    -0.71
    ombat
    -0.70
    ivia
    -0.67
     Aur
    -0.67
    istani
    -0.67
    POSITIVE LOGITS
     bipartisan
    1.11
     flurry
    1.07
     slew
    1.02
     POLITICO
    1.02
     rebuke
    0.95
     scathing
    0.94
     trove
    0.93
     barrage
    0.92
     briefing
    0.92
     memo
    0.90
    Activations Density 0.272%

    No Known Activations