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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. 3-RES-JB
    11. 20147
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    Explanations

    terms related to causes for concern or worry

    oai_token-act-pair · gpt-3.5-turbo

    phrases or words that denote issues of concern or alarm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orah
    -0.79
    ocene
    -0.77
    ammy
    -0.76
    aunder
    -0.74
    boxing
    -0.73
    guided
    -0.71
    aver
    -0.71
    hend
    -0.70
    umo
    -0.69
    appings
    -0.69
    POSITIVE LOGITS
    atform
    0.80
     concerning
    0.77
     newsp
    0.75
    ments
    0.74
     Concern
    0.69
    rontal
    0.69
    EngineDebug
    0.65
     concerns
    0.64
     concern
    0.64
     Admir
    0.64
    Activations Density 0.009%

    No Known Activations