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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. 7-RES-JB
    11. 2903
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    Explanations

    terms related to various areas of interest or focus

    oai_token-act-pair · gpt-3.5-turbo

    mentions of different areas or fields of study

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sons
    -0.85
    arus
    -0.73
     Mald
    -0.71
    itous
    -0.64
    esses
    -0.64
     Clockwork
    -0.63
     helicop
    -0.62
     LV
    -0.62
    ipers
    -0.62
    amaz
    -0.62
    POSITIVE LOGITS
     proble
    0.92
     specialization
    0.86
    manship
    0.85
    icals
    0.82
     areas
    0.82
     topics
    0.77
    specific
    0.77
     vit
    0.74
     specialty
    0.74
    stem
    0.74
    Activations Density 0.105%

    No Known Activations