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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. 7-RES-JB
    11. 19024
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    Explanations

    hyphenated words with specific prefixes

    oai_token-act-pair · gpt-3.5-turbo

    elements related to meetings and greetings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Corpus
    -0.77
    ĨĴ
    -0.77
     Nare
    -0.76
     nomine
    -0.70
     millenn
    -0.69
    edIn
    -0.65
     referen
    -0.63
     affected
    -0.62
    代
    -0.60
    Ĥİ
    -0.58
    POSITIVE LOGITS
    gallery
    0.92
    trade
    0.90
    advertising
    0.90
    exec
    0.84
    politics
    0.82
    comments
    0.78
    your
    0.78
    beer
    0.78
    distance
    0.75
    return
    0.75
    Activations Density 0.028%

    No Known Activations