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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 3563
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    Explanations

    sections of code and programming functions

    oai_token-act-pair · gpt-3.5-turbo

    programming syntax and structures, particularly related to functions and conditions

    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
     McKay
    -0.49
     Hust
    -0.44
     Brock
    -0.44
     technologically
    -0.44
     fostering
    -0.44
     predomin
    -0.43
     Olympia
    -0.43
     strategically
    -0.43
     blowing
    -0.43
     Drake
    -0.42
    POSITIVE LOGITS
    String
    0.87
     :=
    0.86
    Array
    0.85
     args
    0.84
    (_
    0.82
    args
    0.81
    Parameters
    0.80
     tuple
    0.80
     bool
    0.80
    Function
    0.79
    Activations Density 0.363%

    No Known Activations