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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. 12-RES-JB
    11. 4958
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    Explanations

    information related to upcoming events or broadcasts, especially in the context of sports

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to events, actions, and comparisons in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     teasp
    -0.86
    ý
    -0.85
     RandomRedditor
    -0.85
    Ğ
    -0.85
    Ĉ
    -0.85
    ø
    -0.85
    ù
    -0.85
    č
    -0.85
    ā
    -0.85
    ÷
    -0.84
    POSITIVE LOGITS
     is
    1.53
     has
    1.52
     was
    1.49
     comprises
    1.47
     represents
    1.45
     seems
    1.42
     consists
    1.42
     constitutes
    1.41
     isn
    1.40
     appears
    1.40
    Activations Density 1.115%

    No Known Activations