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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. 5203
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    INDEX
    Explanations

    mentions of anger or irritation

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to irritation and core issues

    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
    •layer 10 - anger

    No Comments

    Negative Logits
    uyomi
    -0.75
    zzo
    -0.62
     setting
    -0.59
    holder
    -0.57
     Franks
    -0.57
     Narr
    -0.56
     Dunk
    -0.56
     Classics
    -0.56
    sylvania
    -0.55
     Dempsey
    -0.54
    POSITIVE LOGITS
    respons
    1.08
    idium
    0.87
    aq
    0.84
    uably
    0.84
    ked
    0.84
    repre
    0.83
    qs
    0.81
    cles
    0.80
    ocular
    0.79
    ks
    0.79
    Activations Density 0.017%

    No Known Activations