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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. 14198
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    Explanations

    names of characters and locations related to a specific fictional universe

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter combinations "on" and "in" within words

    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
     conflic
    -0.82
    -+-+
    -0.77
     convol
    -0.74
    eatures
    -0.73
     supplemental
    -0.69
    ADRA
    -0.68
     referen
    -0.67
     antidepress
    -0.66
    \<
    -0.65
     predec
    -0.65
    POSITIVE LOGITS
    thal
    0.83
    hedon
    0.76
    Pont
    0.73
    jin
    0.72
    baum
    0.72
    stone
    0.67
    ite
    0.66
    hole
    0.66
    maker
    0.65
    flame
    0.65
    Activations Density 0.315%

    No Known Activations