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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. 1-RES-JB
    11. 11403
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    Explanations

    references to ice hockey details, such as puck handling and player actions

    oai_token-act-pair · gpt-3.5-turbo

    references to hockey-related terms, particularly the puck

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Topic
    -0.75
    Examples
    -0.67
    Past
    -0.66
    reads
    -0.66
     Humans
    -0.64
    OUNT
    -0.64
     Utilities
    -0.64
    Parts
    -0.63
     Tens
    -0.63
    ä
    -0.63
    POSITIVE LOGITS
     puck
    1.51
    ipeg
    1.40
    sburgh
    1.01
     rink
    1.01
     defenseman
    0.89
    enhagen
    0.86
     Jagu
    0.85
    wow
    0.85
     hockey
    0.85
     skating
    0.83
    Activations Density 0.004%

    No Known Activations