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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. 10-RES-JB
    11. 16250
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    INDEX
    Explanations

    phrases related to decisions or actions

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and interrogative statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     qualitative
    -0.94
    ĸļ
    -0.86
     varied
    -0.83
     refined
    -0.81
     differentiated
    -0.80
     aggregate
    -0.79
     encomp
    -0.79
     overlap
    -0.77
     incorporated
    -0.77
     correlated
    -0.77
    POSITIVE LOGITS
     Nope
    1.08
     Unless
    0.97
    Unless
    0.94
     TMZ
    0.93
     Will
    0.91
     He
    0.90
    unless
    0.90
    Will
    0.89
    He
    0.89
     Wouldn
    0.89
    Activations Density 0.611%

    No Known Activations