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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
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    Explanations

    words related to frightening or negative situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "nightmare" and related variations

    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
    ribut
    -0.87
    gemony
    -0.81
    ients
    -0.78
    rity
    -0.76
    ateur
    -0.75
    ailable
    -0.73
    rylic
    -0.73
    ributes
    -0.73
    oyal
    -0.73
    ements
    -0.73
    POSITIVE LOGITS
     nightmare
    1.12
     Nightmare
    0.90
     nightmares
    0.90
     scenario
    0.82
     Incarn
    0.78
    mares
    0.75
     clut
    0.74
    ishly
    0.72
     scenarios
    0.72
     dreamed
    0.71
    Activations Density 0.011%

    No Known Activations