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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. 12-RES-JB
    11. 3485
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    Explanations

    phrases related to instructions or step-by-step processes

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to women and their contributions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.76
    ļéĨĴ
    -0.73
    ãĤ©
    -0.71
    actionDate
    -0.68
     subur
    -0.66
    ifled
    -0.66
    osate
    -0.65
    ñ
    -0.65
    ãĥĨ
    -0.64
    à¨
    -0.63
    POSITIVE LOGITS
     nonetheless
    1.85
     nevertheless
    1.65
     certainly
    1.09
     definitely
    0.98
     undeniably
    0.98
     still
    0.95
     surely
    0.91
     sure
    0.89
     enough
    0.82
     unmist
    0.82
    Activations Density 0.648%

    No Known Activations