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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. 7-RES-JB
    11. 21511
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    Explanations

    prepositions followed by a verb

    oai_token-act-pair · gpt-3.5-turbo

    instances where examples are introduced

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LAB
    -0.63
    chenko
    -0.61
    Norm
    -0.60
    CLOSE
    -0.60
    mare
    -0.59
    olan
    -0.59
    itably
    -0.59
    illin
    -0.58
    zona
    -0.58
    marine
    -0.58
    POSITIVE LOGITS
     example
    1.46
     instance
    1.44
    bidden
    1.27
    gery
    1.08
    geries
    1.05
    gotten
    1.03
    instance
    1.03
    gettable
    1.01
     reasons
    0.99
     sake
    0.98
    Activations Density 0.068%

    No Known Activations