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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. 11-RES-JB
    6. 10414
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    Explanations

    terms related to locations or events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to events, positions, and significant identifiers in a narrative context

    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
     Sins
    -0.80
     Dough
    -0.75
    nces
    -0.74
     Languages
    -0.72
     Cookies
    -0.70
     DF
    -0.70
     Technique
    -0.70
     Stain
    -0.70
     Leaders
    -0.69
     Guests
    -0.69
    POSITIVE LOGITS
    -
    1.05
    -'
    0.82
     fide
    0.75
    -[
    0.73
    -,
    0.72
    -)
    0.70
    âĢij
    0.65
     lane
    0.65
    -$
    0.65
     fund
    0.64
    Activations Density 0.388%

    No Known Activations