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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 9994
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    Explanations

    words related to threats and dangers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of threats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ricks
    -0.82
    arist
    -0.78
    urses
    -0.75
     Band
    -0.74
    cise
    -0.73
    mys
    -0.66
     Boots
    -0.65
    gian
    -0.65
    tein
    -0.64
    çĦ
    -0.63
    POSITIVE LOGITS
     posed
    1.32
     emanating
    0.92
     threat
    0.90
     threats
    0.83
     against
    0.73
    threat
    0.73
     threatening
    0.72
     multiplier
    0.72
     glare
    0.72
    xual
    0.70
    Activations Density 0.044%

    No Known Activations