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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. 17845
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    Explanations

    references to various recipes and food ingredients, particularly butter

    oai_token-act-pair · gpt-3.5-turbo

    mentions of butter

    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
    vernment
    -0.95
     Exile
    -0.78
     Naz
    -0.71
     advers
    -0.66
    ļé
    -0.64
    ostics
    -0.63
     holiest
    -0.61
    pta
    -0.61
     delinquent
    -0.58
     solitary
    -0.58
    POSITIVE LOGITS
    cream
    1.41
    flies
    1.38
    cup
    1.34
    finger
    1.16
    worth
    1.11
    field
    1.09
    beer
    1.07
    fing
    1.05
    maid
    1.01
    beans
    0.99
    Activations Density 0.050%

    No Known Activations