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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. 7-RES-JB
    11. 9885
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    Explanations

    words related to hobbies and interests

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences and activities related to entertainment and hobbies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Prosecut
    -0.71
     negotiators
    -0.63
    xit
    -0.60
     Corker
    -0.58
     Judicial
    -0.58
     Protective
    -0.57
     jurisd
    -0.56
     appointing
    -0.56
     Protect
    -0.56
     takeover
    -0.56
    POSITIVE LOGITS
     hobby
    0.71
    laughs
    0.67
     beginners
    0.65
    âĹ¼
    0.64
    Tube
    0.63
    Favorite
    0.61
    Laughs
    0.61
     girlfriends
    0.61
     kinda
    0.61
    Legend
    0.60
    Activations Density 0.549%

    No Known Activations