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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. 0-RES-JB
    11. 5050
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    Explanations

    words related to emphasizing or intensifying aspects of a situation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to economic issues and academic positions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Celebrity
    -0.67
    stage
    -0.66
     drib
    -0.65
    aldi
    -0.64
     Bulgar
    -0.63
     Ing
    -0.62
    Dialogue
    -0.62
    cycles
    -0.61
    abies
    -0.61
    ãĢİ
    -0.60
    POSITIVE LOGITS
    uate
    2.74
    essor
    1.71
    essors
    1.62
    gt
    1.35
    mur
    1.10
    uates
    1.09
    existent
    1.06
     pas
    1.00
    save
    0.95
    ievers
    0.95
    Activations Density 0.066%

    No Known Activations