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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. 10-RES-JB
    11. 10105
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    Explanations

    proper names or surnames

    oai_token-act-pair · gpt-3.5-turbo

    repeated sequences of letters or syllables in words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     citation
    -0.60
     hers
    -0.60
     exceptions
    -0.59
    OLOGY
    -0.59
     exemptions
    -0.59
     exception
    -0.58
     arts
    -0.57
     duplication
    -0.56
     community
    -0.56
     regeneration
    -0.55
    POSITIVE LOGITS
    kaya
    1.69
    ky
    1.64
    ki
    1.64
    nyder
    1.46
    kie
    1.38
    ullivan
    1.29
    ka
    1.26
    hire
    1.21
    hip
    1.21
    mith
    1.20
    Activations Density 0.149%

    No Known Activations