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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. 6308
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    Explanations

    phrases related to telecommunications or technical instructions

    oai_token-act-pair · gpt-3.5-turbo

    instances of specific symbols or non-standard characters in the text

    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
    gren
    -0.88
    wagen
    -0.88
    nuts
    -0.86
    gow
    -0.85
    nut
    -0.85
    sers
    -0.84
    ramid
    -0.84
    iqueness
    -0.84
    stro
    -0.82
    matic
    -0.80
    POSITIVE LOGITS
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.87
    Ģ
    0.79
    ··
    0.75
     âĪ
    0.73
     infinity
    0.72
    âĪ
    0.72
    âĨij
    0.71
    âĢ¢âĢ¢
    0.70
    İĭ
    0.69
     rank
    0.66
    Activations Density 0.014%

    No Known Activations