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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. 10-RES-JB
    11. 8326
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    Explanations

    words related to specific proper nouns or brand names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to businesses, locations, and brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.96
    hor
    -0.93
    nc
    -0.88
    absolute
    -0.87
    atl
    -0.86
    rac
    -0.86
    hello
    -0.86
    perm
    -0.85
    kj
    -0.84
    kef
    -0.83
    POSITIVE LOGITS
     Dome
    1.03
     Suit
    0.97
     Wire
    0.96
     Oaks
    0.96
     Wave
    0.96
     Shield
    0.92
     Man
    0.92
     Strip
    0.92
     Lord
    0.91
     Point
    0.91
    Activations Density 0.284%

    No Known Activations