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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. 18555
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    Explanations

    keywords related to efforts or attempts being made towards a particular goal

    oai_token-act-pair · gpt-3.5-turbo

    mentions of efforts or initiatives aimed at achieving specific goals

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Personality
    -0.67
     1935
    -0.62
     Assassins
    -0.61
     Passage
    -0.61
    ãĤ¨ãĥ«
    -0.60
     Britann
    -0.60
    param
    -0.60
     Chop
    -0.60
     bye
    -0.60
     Splash
    -0.59
    POSITIVE LOGITS
     efforts
    1.12
     effort
    0.98
    hooting
    0.92
    uggest
    0.84
     toward
    0.83
     outreach
    0.82
     underway
    0.79
    oldown
    0.78
    ossibility
    0.78
    urion
    0.77
    Activations Density 0.025%

    No Known Activations