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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. 11-RES-JB
    11. 11403
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    Explanations

    food preparation instructions containing verbs and nouns related to cooking

    oai_token-act-pair · gpt-3.5-turbo

    instructions related to cooking and food preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãģ®é
    -0.63
    ERY
    -0.60
     waged
    -0.59
     hijacked
    -0.59
     perished
    -0.58
     rightfully
    -0.57
     defended
    -0.57
     wiret
    -0.57
    artifacts
    -0.55
    anamo
    -0.55
    POSITIVE LOGITS
    then
    0.88
     Then
    0.87
    Remove
    0.84
     Remove
    0.83
     Pour
    0.82
    Repeat
    0.82
     Add
    0.81
     Bring
    0.81
    Then
    0.81
     Rin
    0.81
    Activations Density 0.110%

    No Known Activations