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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. 9-RES-JB
    11. 17569
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    Explanations

    references to the brand "Ford."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the brand "Ford"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     quo
    -0.76
    hemat
    -0.66
     paras
    -0.65
    Magikarp
    -0.65
    arial
    -0.64
    aeper
    -0.64
    ches
    -0.64
     Whedon
    -0.64
     huh
    -0.63
     Sakuya
    -0.61
    POSITIVE LOGITS
     Motor
    1.01
    ham
    0.99
     Mustang
    0.89
     Fiesta
    0.82
    shire
    0.80
     Focus
    0.80
    clad
    0.80
    Planet
    0.80
    ragon
    0.79
    Ford
    0.74
    Activations Density 0.034%

    No Known Activations