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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
    11. 19001
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    Explanations

    phrases related to impending threats or dangers

    oai_token-act-pair · gpt-3.5-turbo

    contributions related to impending or significant threats or challenges

    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
    Not in Any Lists

    No Comments

    Negative Logits
    xx
    -0.76
    %]
    -0.76
    ãĥīãĥ©
    -0.73
    utsche
    -0.72
    ilar
    -0.72
    ãĥ¼ãĤ¯
    -0.72
    ãĥ¼ãĥ³
    -0.72
    hibition
    -0.70
    bies
    -0.69
    RGB
    -0.68
    POSITIVE LOGITS
     omin
    1.08
     atop
    0.87
     overhead
    0.85
     suspic
    0.84
     looms
    0.84
     doom
    0.82
     hovering
    0.82
     menacing
    0.82
     looming
    0.78
    abouts
    0.77
    Activations Density 0.075%

    No Known Activations