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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. 22059
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    Explanations

    titles or headings prompting the reader to watch or pay attention to specific content

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Replay"

    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
    ult
    -0.70
     sucker
    -0.67
    under
    -0.66
    orpor
    -0.64
    umin
    -0.64
    abet
    -0.63
    ylum
    -0.63
    ker
    -0.63
    arcer
    -0.62
    und
    -0.62
    POSITIVE LOGITS
     Replay
    1.32
     WATCHED
    1.18
     Shooter
    0.86
     WATCH
    0.83
    icator
    0.80
    icators
    0.80
     Skydragon
    0.80
    artz
    0.78
    DAQ
    0.75
    Maker
    0.74
    Activations Density 0.008%

    No Known Activations