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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 16080
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    INDEX
    Explanations

    informal quotations

    oai_token-act-pair · gpt-3.5-turbo

    quotes or dialogue from individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     foreseeable
    -0.86
     sided
    -0.77
     correl
    -0.76
     accomp
    -0.76
     populated
    -0.75
     frontline
    -0.75
     glac
    -0.75
     contrasts
    -0.75
     encounters
    -0.74
     stem
    -0.74
    POSITIVE LOGITS
    Hey
    1.87
    Oh
    1.76
    Look
    1.68
    Yeah
    1.67
    hey
    1.66
    Well
    1.64
    You
    1.64
    Okay
    1.60
    Yo
    1.58
    Listen
    1.58
    Activations Density 0.075%

    No Known Activations