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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 19035
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    Explanations

    adjectives indicating a small or insignificant amount

    oai_token-act-pair · gpt-3.5-turbo

    the word "mere" in various contexts indicating insignificance or triviality

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

    No Comments

    Negative Logits
    lain
    -0.78
     Lawyers
    -0.75
    anwhile
    -0.73
     Patriarch
    -0.68
     Remastered
    -0.66
    azel
    -0.64
     Nurs
    -0.63
     vigorously
    -0.63
    ACP
    -0.62
    LCS
    -0.62
    POSITIVE LOGITS
     mortals
    1.10
     guiActiveUn
    0.84
    reet
    0.79
     coincidence
    0.76
    ifiable
    0.76
    tons
    0.76
    ton
    0.76
    ãĥ¬
    0.74
    ãĥ©ãĥ³
    0.74
     mere
    0.72
    Activations Density 0.010%

    No Known Activations