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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. 2189
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    INDEX
    Explanations

    personal statements starting with "I am" and "I am not"

    oai_token-act-pair · gpt-3.5-turbo

    affirmations and self-descriptors

    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
    othal
    -0.70
    bies
    -0.68
    ð
    -0.66
    udeau
    -0.65
     Gap
    -0.63
    ignment
    -0.60
    rarily
    -0.59
    umbs
    -0.59
     Ends
    -0.59
    iscons
    -0.58
    POSITIVE LOGITS
     hereby
    1.04
    nt
    0.97
     aware
    0.94
     presently
    0.94
     obligated
    0.92
     unable
    0.90
     obliged
    0.90
     indebted
    0.87
     NOT
    0.87
     currently
    0.86
    Activations Density 0.267%

    No Known Activations