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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. 1-RES-JB
    11. 21598
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    Explanations

    phrases requesting or providing instructions or information

    oai_token-act-pair · gpt-3.5-turbo

    requests for action or attention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    senal
    -0.79
     Huntington
    -0.69
    Closure
    -0.63
    ydia
    -0.63
    activity
    -0.63
    ilib
    -0.61
    hoe
    -0.61
    sight
    -0.60
     lobe
    -0.59
    dash
    -0.59
    POSITIVE LOGITS
     Please
    0.96
    OGR
    0.88
    Please
    0.84
    please
    0.78
    herty
    0.76
     Ignore
    0.75
     pardon
    0.74
     sorry
    0.74
     Thank
    0.73
    ...]
    0.73
    Activations Density 0.019%

    No Known Activations