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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. 7-RES-JB
    11. 5129
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    Explanations

    products or items being transported or moved from one place to another

    oai_token-act-pair · gpt-3.5-turbo

    references to products, goods, or commodities being transported or transferred

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cknow
    -0.78
    stood
    -0.65
     repetition
    -0.64
    Administ
    -0.61
    âĸ¬
    -0.61
    ĻĤ
    -0.60
     ante
    -0.58
     hypocrisy
    -0.58
    Minor
    -0.56
    uncture
    -0.54
    POSITIVE LOGITS
     onto
    1.42
     into
    1.19
    izont
    0.98
     hither
    0.98
    into
    0.98
     securely
    0.95
     safely
    0.93
     toward
    0.92
     towards
    0.86
    oward
    0.85
    Activations Density 0.503%

    No Known Activations