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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. 10-RES-JB
    6. 21297
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    INDEX
    Explanations

    objects or items that can be held or carried

    oai_token-act-pair · gpt-3.5-turbo

    nouns that refer to various objects or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    renheit
    -0.76
    erenn
    -0.76
     Streets
    -0.74
    »Ĵ
    -0.71
    ĺ
    -0.71
    Ͻ
    -0.71
    IJ
    -0.70
    £ı
    -0.70
    Phase
    -0.68
    actionDate
    -0.67
    POSITIVE LOGITS
     holder
    1.35
     wearer
    1.23
     worn
    1.11
     bearer
    1.10
     giveaway
    1.08
     holders
    1.06
     dangling
    1.06
     shaped
    1.05
     salesman
    1.04
     adorned
    1.04
    Activations Density 0.329%

    No Known Activations