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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. 4-RES-JB
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    Explanations

    specific mentions of the company "Ford"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Ford company

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

    No Comments

    Negative Logits
    anwhile
    -0.78
    sembly
    -0.75
    ablishment
    -0.75
     Flavoring
    -0.74
     Seym
    -0.73
    udic
    -0.73
     sidx
    -0.72
    vironment
    -0.71
     quo
    -0.70
    laus
    -0.69
    POSITIVE LOGITS
    ham
    0.92
     Motor
    0.91
    shire
    0.86
    ragon
    0.81
    clad
    0.80
     Mustang
    0.80
    bies
    0.74
    Ford
    0.74
     Ford
    0.73
    whe
    0.71
    Activations Density 0.009%

    No Known Activations