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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. 9-RES-JB
    11. 5788
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    Explanations

    phrases related to looming threats or impending events

    oai_token-act-pair · gpt-3.5-turbo

    words associated with impending threats or significant concerns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.77
    rosse
    -0.67
    glomer
    -0.67
    izations
    -0.64
    OH
    -0.63
    hire
    -0.63
    xx
    -0.63
     performed
    -0.63
    ctors
    -0.61
    ãĤ¼
    -0.61
    POSITIVE LOGITS
     doom
    1.03
     omin
    1.01
     looming
    1.00
     hovering
    0.91
     suspic
    0.86
     doubt
    0.85
     overhead
    0.84
     une
    0.82
     peril
    0.80
     menacing
    0.80
    Activations Density 0.147%

    No Known Activations