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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. 3672
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    Explanations

    winning-related terms or accolades in the text

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating recognition and success in the entertainment industry

    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
    osponsors
    -0.89
    ItemImage
    -0.76
     incent
    -0.75
    LOG
    -0.75
    vertisement
    -0.74
    soDeliveryDate
    -0.74
    xual
    -0.74
    ailable
    -0.73
    =-=-
    -0.72
    NetMessage
    -0.71
    POSITIVE LOGITS
     fourth
    0.77
     eighth
    0.74
     sixth
    0.73
     seventh
    0.72
     American
    0.70
     ninth
    0.69
     fifth
    0.69
     Manhattan
    0.68
     freshman
    0.68
     Third
    0.67
    Activations Density 0.242%

    No Known Activations