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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. 20066
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    Explanations

    the word "Whatever" followed by various contexts or statements

    oai_token-act-pair · gpt-3.5-turbo

    the word "whatever" and its variations, indicating a focus on uncertainty or indifference in various contexts

    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
    ciating
    -0.79
    osp
    -0.75
    arie
    -0.75
    arah
    -0.73
    ļéĨĴ
    -0.71
    arial
    -0.67
    sea
    -0.67
    arde
    -0.65
    CBC
    -0.65
    atin
    -0.64
    POSITIVE LOGITS
     disagreements
    0.76
     motivations
    0.75
     conclusions
    0.73
     doubts
    0.72
     merits
    0.72
     interpretations
    0.70
     Factors
    0.70
     validity
    0.70
     illusions
    0.68
     uncertainties
    0.68
    Activations Density 0.067%

    No Known Activations