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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. 13
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    INDEX
    Explanations

    negative or warning-related terms

    oai_token-act-pair · gpt-3.5-turbo

    negative words and expressions of denial or absence

    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
     Allies
    -0.70
    ensible
    -0.69
    strength
    -0.65
     applic
    -0.63
    igans
    -0.62
    arthy
    -0.62
    pot
    -0.62
     Excellent
    -0.62
     Enhancement
    -0.61
     Levin
    -0.60
    POSITIVE LOGITS
     disappoint
    1.37
     shy
    1.18
     hesitate
    1.16
     afraid
    1.04
     disappointed
    1.01
     forget
    1.01
     forgetting
    1.00
     miss
    0.97
     MISS
    0.92
     hesitated
    0.91
    Activations Density 0.297%

    No Known Activations