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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 16970
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    Explanations

    phrases indicating the completion of a group or collection

    oai_token-act-pair · gpt-3.5-turbo

    the word "all" in various contexts, indicating inclusivity or completeness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •All the Features!

    No Comments

    Negative Logits
    gee
    -0.65
     Rouge
    -0.61
    hips
    -0.61
    leep
    -0.60
    rouse
    -0.59
    zik
    -0.57
    sov
    -0.56
    robe
    -0.56
    gap
    -0.55
    aminer
    -0.55
    POSITIVE LOGITS
     kinds
    1.45
     sorts
    1.44
    igators
    1.16
    usions
    1.12
    ocating
    1.12
    igator
    1.11
     manner
    1.00
    ocations
    1.00
    ogene
    0.99
     facets
    0.95
    Activations Density 0.109%

    No Known Activations