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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. 9-RES-JB
    11. 13774
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    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of proper nouns or names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     AAA
    -0.59
     Thumbnails
    -0.57
    ERAL
    -0.56
    sembly
    -0.55
    ש
    -0.55
    Roaming
    -0.55
    ournal
    -0.55
    ccording
    -0.54
    EMBER
    -0.51
     Yugoslav
    -0.51
    POSITIVE LOGITS
    gren
    0.87
    quist
    0.84
     Creek
    0.81
     County
    0.80
    hurst
    0.79
    burg
    0.78
    ville
    0.77
    berg
    0.77
     et
    0.77
    ucci
    0.76
    Activations Density 0.308%

    No Known Activations