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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. 15078
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    Explanations

    phrases related to caution and warnings

    oai_token-act-pair · gpt-3.5-turbo

    phrases that advise caution or alertness

    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
    oreal
    -0.66
     Reincarnated
    -0.63
     fabrication
    -0.62
     arsen
    -0.61
     veins
    -0.60
     selector
    -0.59
     Conversation
    -0.58
     acquisition
    -0.58
    %);
    -0.58
    cible
    -0.57
    POSITIVE LOGITS
    stretched
    0.99
    smart
    0.95
    fitted
    0.94
    casts
    0.91
    landish
    0.89
     loud
    0.87
    lander
    0.84
    ta
    0.82
    rage
    0.76
    ruck
    0.75
    Activations Density 0.070%

    No Known Activations