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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. 4-RES-JB
    11. 2587
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    Explanations

    phrases related to specific names, potentially those of people or locations

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of certain names or terms related to individuals or entities

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

    Negative Logits
     Immunity
    -0.69
    otions
    -0.68
     livest
    -0.64
    icer
    -0.64
    NetMessage
    -0.64
     Valiant
    -0.63
    govtrack
    -0.63
     accomp
    -0.62
     SCHOOL
    -0.60
     ILCS
    -0.60
    POSITIVE LOGITS
    eners
    0.94
    geist
    0.91
    ¬¼
    0.88
    xual
    0.85
    ãĤ©
    0.84
    chwitz
    0.83
    ãĥ¼ãĥĨãĤ£
    0.81
    rament
    0.78
    tern
    0.78
    =-=-
    0.76
    Activations Density 0.018%

    No Known Activations