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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
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    Explanations

    words or phrases related to fear and danger

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fear and terror

    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
    •layer 7 - fear

    No Comments

    Negative Logits
    ribut
    -0.82
    jug
    -0.82
    cellence
    -0.79
    putable
    -0.76
    gs
    -0.75
    endment
    -0.74
    iciency
    -0.74
    cipl
    -0.74
    gemony
    -0.73
    secut
    -0.73
    POSITIVE LOGITS
    ly
    0.98
    mares
    0.88
     ordeal
    0.86
     nightmares
    0.84
    mare
    0.82
     scenarios
    0.77
     clown
    0.75
     unbeliev
    0.75
     scenario
    0.75
     spect
    0.74
    Activations Density 0.059%

    No Known Activations