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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. 9-RES-JB
    11. 17582
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    Explanations

    words related to a specific brand or company named "Nike"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific name or brand, particularly "Nike."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aceutical
    -0.81
    izon
    -0.66
    ohydrate
    -0.66
     istg
    -0.61
    anamo
    -0.61
    ourcing
    -0.59
    ourced
    -0.58
    Ñĭ
    -0.58
    hips
    -0.58
    IFIED
    -0.57
    POSITIVE LOGITS
    llers
    1.31
    ller
    1.30
    vich
    1.29
    ptic
    1.18
    ls
    1.11
    letal
    1.10
    lling
    1.06
    rers
    1.04
    rer
    1.03
    leys
    1.01
    Activations Density 0.033%

    No Known Activations