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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. 8-RES-JB
    11. 23485
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    Explanations

    sentences containing dates and events

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and sentence-ending elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ople
    -0.78
    amn
    -0.71
     underest
    -0.67
     instinct
    -0.67
     arte
    -0.66
    ement
    -0.64
     wish
    -0.64
    tsy
    -0.63
     bite
    -0.63
     pat
    -0.63
    POSITIVE LOGITS
     Lastly
    1.71
     Similarly
    1.54
     Likewise
    1.45
     Finally
    1.39
    Similarly
    1.33
    Lastly
    1.29
     Conversely
    1.18
    Likewise
    1.16
     Meanwhile
    1.16
     Another
    1.14
    Activations Density 0.658%

    No Known Activations