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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. 11-RES-JB
    11. 9461
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    INDEX
    Explanations

    adverbs that emphasize intensity or degree

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers or modifiers that emphasize degree

    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
    excluding
    -0.46
     Princ
    -0.46
     Destination
    -0.44
    enges
    -0.44
    SHIP
    -0.44
    Ãĥ
    -0.43
    ende
    -0.43
    wal
    -0.43
    sburgh
    -0.43
    atern
    -0.42
    POSITIVE LOGITS
     versatile
    0.88
     tasty
    0.87
     delicious
    0.86
     useful
    0.85
     cute
    0.85
     enjoyable
    0.85
     underrated
    0.84
     flavorful
    0.84
     sexy
    0.84
     catchy
    0.83
    Activations Density 0.252%

    No Known Activations