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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. 14228
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    Explanations

    expressions of frustration or disbelief followed by questioning the situation

    oai_token-act-pair · gpt-3.5-turbo

    demonstrative pronouns and interrogative phrases indicating questions or inquiries

    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
    alties
    -0.86
    aneers
    -0.83
    licts
    -0.72
    "],
    -0.69
    æĪ¦
    -0.69
    Avg
    -0.69
    ãĤ¨ãĥ«
    -0.68
    oes
    -0.68
    ocaust
    -0.68
    paio
    -0.68
    POSITIVE LOGITS
     imaginable
    0.89
     happening
    0.89
     indicative
    0.85
     coincidence
    0.85
     possible
    0.83
     feasible
    0.80
     intentional
    0.78
     happen
    0.74
     acceptable
    0.72
     guy
    0.71
    Activations Density 0.066%

    No Known Activations