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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. 6-RES-JB
    11. 17713
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    Explanations

    phrases that involve evaluation or critique of various subjects

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating attribution or evaluation of actions and qualities

    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
    hole
    -0.73
    hello
    -0.72
     endif
    -0.70
    vantage
    -0.69
    holes
    -0.67
    CNN
    -0.65
    cape
    -0.64
    hog
    -0.63
    haven
    -0.62
     laughed
    -0.61
    POSITIVE LOGITS
     unprecedented
    0.79
    erity
    0.76
    illet
    0.73
     Catal
    0.71
    Detailed
    0.67
     customary
    0.67
    mbuds
    0.65
    QL
    0.64
     Baird
    0.64
     Calder
    0.64
    Activations Density 0.395%

    No Known Activations