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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. 7-RES-JB
    11. 19077
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    Explanations

    phrases related to cooking techniques involving stirring

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of the action "stir" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iary
    -0.95
    DragonMagazine
    -0.79
    iaries
    -0.76
    ocado
    -0.69
    onymous
    -0.66
    agles
    -0.66
     Stores
    -0.65
     livest
    -0.65
    ighth
    -0.65
    nesota
    -0.65
    POSITIVE LOGITS
    rer
    0.97
    rers
    0.95
    rings
    0.94
     stir
    0.93
     fry
    0.88
    lings
    0.84
    stall
    0.82
    rup
    0.81
     stirring
    0.79
    rab
    0.78
    Activations Density 0.040%

    No Known Activations