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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. 9-RES-JB
    11. 24130
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    INDEX
    Explanations

    phrases indicating statements or opinions made by someone

    oai_token-act-pair · gpt-3.5-turbo

    reported speech or statements indicating communication

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    bowl
    -0.76
    aceae
    -0.73
    miah
    -0.72
    estern
    -0.72
    reditary
    -0.68
    acio
    -0.67
    EEE
    -0.67
    eatured
    -0.65
    cot
    -0.62
    ocative
    -0.61
    POSITIVE LOGITS
     nonetheless
    1.28
     nevertheless
    1.07
     none
    0.89
     doubts
    0.83
     caution
    0.82
    etheless
    0.80
     persists
    0.74
     cautioned
    0.74
     otherwise
    0.73
     doubted
    0.73
    Activations Density 0.280%

    No Known Activations