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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 3925
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    Explanations

    the abbreviation "tw" followed by various sequences of characters and numbers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "twin."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andowski
    -0.78
    LAB
    -0.76
    ISA
    -0.75
    inventory
    -0.72
     Marino
    -0.71
     Carney
    -0.71
    ICA
    -0.69
    ARY
    -0.68
    idential
    -0.67
    HR
    -0.66
    POSITIVE LOGITS
     tw
    3.57
     Tw
    1.85
    tw
    1.58
     twitch
    1.53
    Tw
    1.37
     TW
    1.36
     th
    1.24
    TW
    1.19
     wink
    1.13
     ele
    1.12
    Activations Density 0.018%

    No Known Activations