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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. 17149
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    Explanations

    items related to particular categories or objects such as vehicles, personal care products, clothing, and accessories

    oai_token-act-pair · gpt-3.5-turbo

    specific types of products, objects, or roles in various contexts, particularly consumer goods and personal items

    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
    zona
    -0.80
    ration
    -0.80
    ivism
    -0.76
    76561
    -0.75
    eu
    -0.74
    opal
    -0.72
    kus
    -0.72
    oway
    -0.72
    ffiti
    -0.70
    lopp
    -0.70
    POSITIVE LOGITS
     attachment
    0.61
    /
    0.60
     residue
    0.60
     EDITION
    0.58
     component
    0.55
     cousins
    0.55
     flats
    0.54
     weighing
    0.54
     topping
    0.54
     or
    0.53
    Activations Density 0.507%

    No Known Activations