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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. 3-RES-JB
    11. 4709
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    Explanations

    words related to specific professions or organizations

    oai_token-act-pair · gpt-3.5-turbo

    multiple occurrences of specific punctuation, particularly commas, indicating lists or breaks in thought

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¬¼
    -0.82
    §
    -0.64
    ety
    -0.59
    VERTISEMENT
    -0.59
    herent
    -0.59
    pec
    -0.58
    Į
    -0.57
    ahu
    -0.57
    »
    -0.57
    untarily
    -0.56
    POSITIVE LOGITS
     however
    1.12
     huh
    1.10
     albeit
    1.08
     although
    1.03
     though
    0.99
     namely
    0.97
     meanwhile
    0.96
     including
    0.87
     which
    0.86
     eh
    0.86
    Activations Density 1.616%

    No Known Activations