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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. 7386
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    Explanations

    terms related to communication and instructions

    oai_token-act-pair · gpt-3.5-turbo

    assertive statements regarding importance or necessity

    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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    Negative Logits
    ortium
    -0.78
    %:
    -0.61
    emale
    -0.60
     ®
    -0.56
     Released
    -0.56
    ËĪ
    -0.55
    ¶ħ
    -0.54
    fn
    -0.53
    kai
    -0.53
     ARTICLE
    -0.53
    POSITIVE LOGITS
    )."
    1.60
    ),"
    1.53
    ,'"
    1.53
    .'"
    1.52
    ',"
    1.45
    ."
    1.42
    ]."
    1.41
    '."
    1.37
    ?'"
    1.34
    ."[
    1.33
    Activations Density 1.173%

    No Known Activations