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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. 4-RES-JB
    11. 4089
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    Explanations

    phrases related to decision-making or problem-solving

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and formatting symbols

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

    No Comments

    Negative Logits
    bryce
    -0.59
    utra
    -0.55
    oun
    -0.49
    iciency
    -0.48
     simul
    -0.47
    hemer
    -0.46
    ascus
    -0.45
    quartered
    -0.45
    ascript
    -0.45
     simulator
    -0.45
    POSITIVE LOGITS
     Unless
    0.59
     Especially
    0.57
     Whether
    0.55
     Because
    0.53
     Regardless
    0.52
     ;)
    0.51
     Hopefully
    0.50
     If
    0.49
     Maybe
    0.49
     Either
    0.49
    Activations Density 1.538%

    No Known Activations