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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 7715
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    Explanations

    names of cities/towns

    oai_token-act-pair · gpt-3.5-turbo

    words related to anatomy or geographical locations

    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
    bler
    -0.74
    ples
    -0.72
    TOR
    -0.67
    tackle
    -0.66
    blers
    -0.65
    bly
    -0.62
    Knight
    -0.61
     chew
    -0.60
    yles
    -0.58
     Oath
    -0.57
    POSITIVE LOGITS
    ifa
    0.82
    ashtra
    0.77
    ¬
    0.73
    amina
    0.73
    ische
    0.67
    ®
    0.66
    uan
    0.64
    î
    0.64
     Paulo
    0.63
    ienne
    0.63
    Activations Density 0.123%

    No Known Activations