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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. 3-RES-JB
    11. 21250
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    Explanations

    the names of specific countries or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    named entities, particularly proper nouns and specific individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ministic
    -0.88
    acters
    -0.83
    ãĥĨãĤ£
    -0.81
    fuck
    -0.74
    к
    -0.74
    ERAL
    -0.73
    ingers
    -0.73
    idential
    -0.73
    flies
    -0.72
    ãĤº
    -0.72
    POSITIVE LOGITS
    yssey
    1.01
    swick
    0.73
    romeda
    0.72
    okia
    0.69
    landish
    0.69
    live
    0.68
    toc
    0.67
    oko
    0.67
     Apost
    0.67
     Yose
    0.66
    Activations Density 0.033%

    No Known Activations