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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

    instances of the word "whisk" in various forms and contexts

    oai_token-act-pair · gpt-3.5-turbo

    the concept of whisking related to cooking

    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
    SOURCE
    -0.71
     reper
    -0.68
     tremend
    -0.68
    FUL
    -0.65
    ©¶æ
    -0.64
     revolving
    -0.64
    ASED
    -0.61
    ENCY
    -0.60
    idency
    -0.57
    DEN
    -0.57
    POSITIVE LOGITS
     whisk
    1.06
    ers
    0.98
    ery
    0.90
    itudinal
    0.88
    eless
    0.88
    ie
    0.86
    ings
    0.86
    ewater
    0.83
    eenth
    0.81
    er
    0.81
    Activations Density 0.012%

    No Known Activations