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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. 6-RES-JB
    11. 20583
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    INDEX
    Explanations

    instances of actions or events requiring some kind of action or decision

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating necessity or obligation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Guilty
    -0.77
    Recommended
    -0.75
    Leaks
    -0.74
    Friend
    -0.73
    Norm
    -0.72
    RD
    -0.68
    lip
    -0.67
     Emerging
    -0.65
    ////////////////////////////////
    -0.65
    Points
    -0.65
    POSITIVE LOGITS
     endure
    1.08
     wait
    0.99
     amput
    0.97
     rely
    0.94
     overcome
    0.94
     cope
    0.94
     fend
    0.93
     contend
    0.92
     undergo
    0.89
     settle
    0.88
    Activations Density 0.104%

    No Known Activations