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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. 6-RES-JB
    11. 341
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    Explanations

    phrases indicating intense emphasis on a particular topic

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "about."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hesis
    -0.87
    roma
    -0.71
    ammy
    -0.70
     Peaks
    -0.68
    hetical
    -0.67
    rift
    -0.65
    oly
    -0.65
    qua
    -0.64
    hetics
    -0.64
    nea
    -0.64
    POSITIVE LOGITS
     halfway
    0.79
    aleb
    0.69
     peacefully
    0.66
    proxy
    0.64
     Noon
    0.63
     decor
    0.61
    ties
    0.61
     respecting
    0.61
    edIn
    0.61
     ducks
    0.61
    Activations Density 0.105%

    No Known Activations