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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. 8-RES-JB
    11. 3210
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to items in a list or inventory

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orks
    -0.70
    sburgh
    -0.65
     Winds
    -0.64
    ILLE
    -0.63
     Gib
    -0.62
     Dunk
    -0.62
     Ange
    -0.62
    BILITY
    -0.61
    doms
    -0.61
    ingen
    -0.61
    POSITIVE LOGITS
    ized
    0.99
    meal
    0.94
    izer
    0.94
    ize
    0.92
    istics
    0.89
    izers
    0.87
    ization
    0.87
    istically
    0.82
    ious
    0.81
     items
    0.81
    Activations Density 0.036%

    No Known Activations