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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. 18648
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    Explanations

    references to the term "Lamborghini"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Lam" in various contexts

    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
    REDACTED
    -0.70
     Subtle
    -0.64
    GROUND
    -0.63
    ãģį
    -0.63
     steroid
    -0.60
     union
    -0.60
     gradient
    -0.59
    HEAD
    -0.58
    ģĸ
    -0.58
     wart
    -0.57
    POSITIVE LOGITS
    borgh
    1.59
    inated
    1.09
    bs
    1.02
    oufl
    1.01
    iami
    1.00
    othe
    0.99
    pling
    0.99
    ont
    0.98
    essage
    0.97
    endment
    0.97
    Activations Density 0.037%

    No Known Activations