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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. 6239
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    Explanations

    phrases related to news bulletins or headlines

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Breaking" in various contexts related to news

    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
     Amph
    -0.71
     accommod
    -0.70
     Greenwood
    -0.67
     consultation
    -0.67
    sson
    -0.66
    tail
    -0.65
     fee
    -0.64
     pupil
    -0.64
     odor
    -0.64
     palette
    -0.63
    POSITIVE LOGITS
    Breaking
    4.00
     Breaking
    2.90
    breaking
    1.78
    BRE
    1.68
     breaking
    1.52
    Break
    1.33
    AKING
    1.32
    break
    1.21
    breaks
    1.13
     Break
    1.11
    Activations Density 0.019%

    No Known Activations