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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. 800
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    Explanations

    filler words and interjections

    oai_token-act-pair · gpt-3.5-turbo

    filler words or hesitations in speech

    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
    hips
    -0.77
    Adds
    -0.66
    Constructed
    -0.64
    BOOK
    -0.63
    ingham
    -0.62
     rendered
    -0.60
     Cosponsors
    -0.60
    IAN
    -0.59
    hire
    -0.59
    ebook
    -0.58
    POSITIVE LOGITS
    pty
    0.98
    pling
    0.85
    rah
    0.83
    ugh
    0.83
    yssey
    0.81
    br
    0.78
    bers
    0.77
    mi
    0.76
    ihara
    0.76
    amoto
    0.74
    Activations Density 0.020%

    No Known Activations