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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. 6-RES-JB
    11. 7400
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    INDEX
    Explanations

    words related to dealing with challenging or dangerous situations

    oai_token-act-pair · gpt-3.5-turbo

    references to various contexts or scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.95
    rotein
    -0.84
    track
    -0.81
    leaf
    -0.79
    tool
    -0.78
    artisan
    -0.76
     Bones
    -0.73
    head
    -0.72
    roots
    -0.72
    etics
    -0.68
    POSITIVE LOGITS
     situations
    1.09
     involving
    1.05
    uations
    0.97
     arise
    0.91
     scenarios
    0.87
    afety
    0.81
     arisen
    0.78
     imaginable
    0.74
     circumstances
    0.73
     encounters
    0.71
    Activations Density 0.029%

    No Known Activations