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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. 11-RES-JB
    11. 17365
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    Explanations

    instances of formal communication or discussion

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to impactful discussions and opportunities for dialogue

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     darts
    -0.67
     Rhodes
    -0.61
     torpedo
    -0.60
     Tripoli
    -0.60
     mattress
    -0.60
     Gaddafi
    -0.59
     sail
    -0.59
     Somers
    -0.57
     Boone
    -0.57
     parachute
    -0.56
    POSITIVE LOGITS
    .""
    1.87
    âĢ
    1.77
    ."
    1.64
    .''
    1.63
    .�
    1.61
    ."[
    1.56
    )."
    1.55
    .",
    1.50
    .","
    1.48
     âĢ
    1.47
    Activations Density 0.985%

    No Known Activations