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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. 6-RES-JB
    11. 7651
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    Explanations

    locations or establishments related to entertainment or leisure activities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "strip" in various contexts

    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
    rious
    -0.78
    é¾įå
    -0.78
    pheus
    -0.78
     SOS
    -0.77
    lished
    -0.72
    é
    -0.72
     Nobel
    -0.70
    VERTIS
    -0.68
     Aval
    -0.67
    âĹ¼
    -0.67
    POSITIVE LOGITS
    strip
    1.01
     malls
    1.00
     strip
    0.95
    agers
    0.85
    isode
    0.83
    aways
    0.82
     stripping
    0.78
     strips
    0.77
    cloth
    0.77
    pees
    0.76
    Activations Density 0.023%

    No Known Activations