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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. 8-RES-JB
    11. 11648
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    Explanations

    interrogative sentences asking someone's reasons for their actions or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    questions that start with "what" or "are."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dom
    -0.91
    odder
    -0.86
    oire
    -0.86
    rouse
    -0.84
    icism
    -0.81
    cture
    -0.76
    uncture
    -0.76
    atform
    -0.76
    ileaks
    -0.75
    matter
    -0.72
    POSITIVE LOGITS
    wolves
    0.98
    senal
    0.84
    wolf
    0.81
     miracles
    0.75
    types
    0.73
     jokes
    0.72
     idiots
    0.72
     illusions
    0.71
     examples
    0.69
     trademarks
    0.68
    Activations Density 0.108%

    No Known Activations