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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. 6583
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    Explanations

    words related to occurrences or events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "occur" and its variations, indicating events or situations that take place

    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
    axter
    -0.86
    step
    -0.79
    ilts
    -0.78
    loo
    -0.74
    shaw
    -0.73
    ebus
    -0.72
    iled
    -0.72
    iler
    -0.70
    zik
    -0.69
    ked
    -0.69
    POSITIVE LOGITS
    uate
    0.93
    rences
    0.90
     occurring
    0.89
    uates
    0.77
    uated
    0.75
    cffffcc
    0.75
     [&
    0.74
    uating
    0.73
    Sax
    0.71
     occ
    0.70
    Activations Density 0.023%

    No Known Activations