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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. 6-RES-JB
    6. 11079
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    Explanations

    references to the company "Ford"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company Ford

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.73
     quo
    -0.73
    aeper
    -0.71
    laus
    -0.71
     Flavoring
    -0.70
    alam
    -0.69
    ablishment
    -0.68
    Magikarp
    -0.68
    ulhu
    -0.67
    sembly
    -0.67
    POSITIVE LOGITS
    shire
    0.93
     Motor
    0.92
    ham
    0.89
    clad
    0.82
     Mustang
    0.77
    ragon
    0.76
    bies
    0.72
    whe
    0.71
    isle
    0.70
    rera
    0.69
    Activations Density 0.012%

    No Known Activations