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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. 5919
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    INDEX
    Explanations

    phrases related to intentions and actions

    oai_token-act-pair · gpt-3.5-turbo

    dialogue and conversational phrases

    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
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    No Comments

    Negative Logits
     Chandler
    -0.87
     helic
    -0.87
     Pegasus
    -0.84
     helium
    -0.82
     pigeon
    -0.80
     KC
    -0.79
     mushroom
    -0.77
     aerial
    -0.76
     loft
    -0.76
     MU
    -0.76
    POSITIVE LOGITS
     âĢ
    2.18
    âĢ
    1.65
    ãĢ
    1.43
    .ãĢį
    1.36
    .''
    1.32
    âĢł
    1.32
    »
    1.28
    ãĢį
    1.27
    .�
    1.26
    âĶĢ
    1.26
    Activations Density 0.744%

    No Known Activations