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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. 3-RES-JB
    11. 16725
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fame
    -0.68
     CTRL
    -0.61
     dracon
    -0.61
     womb
    -0.61
     arteries
    -0.60
     capsule
    -0.60
     instrumental
    -0.59
     trope
    -0.59
     Blueprint
    -0.58
     envelope
    -0.58
    POSITIVE LOGITS
    ich
    0.97
    jen
    0.88
    ius
    0.88
    oni
    0.86
    stad
    0.84
    illo
    0.82
    ault
    0.82
    mann
    0.82
    iris
    0.81
    ety
    0.80
    Activations Density 0.536%

    No Known Activations