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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. 20297
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    Explanations

    words related to occurrences or events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "occur" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    No Comments

    Negative Logits
    ilts
    -0.74
    edo
    -0.72
    shaw
    -0.72
    grown
    -0.71
    step
    -0.71
    tan
    -0.70
    oyal
    -0.68
    loo
    -0.67
    ney
    -0.67
    version
    -0.65
    POSITIVE LOGITS
    uate
    1.16
    rences
    1.09
     naturally
    0.93
    uated
    0.92
     spontaneously
    0.89
    uates
    0.87
     concurrently
    0.85
     during
    0.79
    uating
    0.76
     anywhere
    0.75
    Activations Density 0.048%

    No Known Activations