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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. 11-RES-JB
    11. 17414
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    Explanations

    words containing 'ent' followed by 'h' or 'ron'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter "h" in various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.67
     Stam
    -0.58
     goodwill
    -0.57
     looms
    -0.56
     numbered
    -0.55
     booths
    -0.54
     Kush
    -0.54
     moot
    -0.54
    kj
    -0.54
     shine
    -0.53
    POSITIVE LOGITS
    ement
    1.25
    lement
    1.15
    ements
    1.03
    ined
    1.02
    acement
    0.97
    lements
    0.95
    usted
    0.90
    itional
    0.90
    iment
    0.87
    andise
    0.86
    Activations Density 0.097%

    No Known Activations