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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. 11-RES-JB
    6. 19325
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    Explanations

    city or location names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of locations and people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.83
     meanwhile
    -0.81
     BBC
    -0.77
     Icelandic
    -0.75
     MEP
    -0.74
     Gujar
    -0.71
     apologise
    -0.71
     Subtle
    -0.70
     Indones
    -0.69
     silenced
    -0.69
    POSITIVE LOGITS
    esville
    1.54
    erville
    1.48
    endale
    1.41
    mington
    1.38
    heny
    1.33
    eston
    1.26
    lington
    1.23
    auga
    1.21
    adelphia
    1.19
    onia
    1.17
    Activations Density 0.204%

    No Known Activations