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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 11044
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    Explanations

    mentions of specific organizations or political figures

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, particularly periods and question marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unseen
    -0.80
     predec
    -0.76
     harvest
    -0.74
     unconscious
    -0.72
     additive
    -0.72
     awa
    -0.71
    ©¶æ
    -0.71
     ejac
    -0.69
     involuntary
    -0.69
     ingest
    -0.68
    POSITIVE LOGITS
     Its
    0.98
    gov
    0.95
     Certainly
    0.89
     Especially
    0.89
     Located
    0.88
     Seriously
    0.84
     Particularly
    0.83
    abad
    0.82
     Apparently
    0.82
     Surely
    0.81
    Activations Density 0.737%

    No Known Activations