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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. 6-RES-JB
    6. 5466
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    INDEX
    Explanations

    phrases involving contrast or balance in actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing continuity or persistence in actions or states

    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
    uala
    -0.68
    eah
    -0.63
     Bre
    -0.63
    uca
    -0.62
    hack
    -0.62
     Roh
    -0.62
    resa
    -0.61
    onica
    -0.61
    éĹĺ
    -0.60
    rament
    -0.59
    POSITIVE LOGITS
     otherwise
    0.84
     contrasted
    0.82
     simultaneously
    0.79
     ignoring
    0.75
     nonetheless
    0.75
     thereby
    0.73
     forgetting
    0.72
     nevertheless
    0.72
     whereas
    0.72
     unlike
    0.70
    Activations Density 0.540%

    No Known Activations