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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. 8-RES-JB
    11. 543
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    Explanations

    phrases indicating some form of explanation or reasoning

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izont
    -0.88
    ãĤ´ãĥ³
    -0.79
    quer
    -0.71
    PRESS
    -0.68
    aukee
    -0.67
    ãĥij
    -0.65
    ãģį
    -0.64
    ocaust
    -0.63
    istor
    -0.63
    ovember
    -0.62
    POSITIVE LOGITS
     consequently
    1.02
     they
    0.92
    soever
    0.90
     furthermore
    0.86
     therefore
    0.86
     moreover
    0.81
     there
    0.78
     reconc
    0.75
     accordingly
    0.75
     he
    0.73
    Activations Density 0.107%

    No Known Activations