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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. 4-RES-JB
    11. 11029
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    Explanations

    phrases related to different types of clothing, particularly jeans

    oai_token-act-pair · gpt-3.5-turbo

    references to denim and jeans

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

    No Comments

    Negative Logits
    iences
    -0.81
    anz
    -0.73
    Reviewer
    -0.73
    alling
    -0.70
    avanaugh
    -0.69
    iments
    -0.69
    enhagen
    -0.66
    itored
    -0.66
    imental
    -0.64
    heastern
    -0.63
    POSITIVE LOGITS
     jeans
    1.39
     denim
    0.99
     pants
    0.89
     trousers
    0.86
     shorts
    0.86
     socks
    0.81
     clothes
    0.81
     shoes
    0.79
    ners
    0.76
     clothing
    0.75
    Activations Density 0.012%

    No Known Activations