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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. 20748
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    Explanations

    references to the brand "Nike" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the Nike brand and its products

    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
    ulhu
    -0.89
     ILCS
    -0.84
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.72
    cffffcc
    -0.67
    ^^^^
    -0.67
    eral
    -0.66
    «ĺ
    -0.66
    ajor
    -0.66
    Ń·
    -0.65
    odic
    -0.64
    POSITIVE LOGITS
     Adidas
    0.98
    mens
    0.91
     sneakers
    0.85
    mson
    0.84
     footwear
    0.83
    idas
    0.81
     Nike
    0.81
     apparel
    0.81
     shoe
    0.77
     endors
    0.77
    Activations Density 0.023%

    No Known Activations