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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. 4953
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    Explanations

    phrases related to projects or endeavors, potentially with a sense of significance or urgency

    oai_token-act-pair · gpt-3.5-turbo

    references to "Mission" and related concepts

    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
    ãģį
    -0.77
    picking
    -0.76
    urrency
    -0.69
    urrencies
    -0.68
     alloy
    -0.67
     Ange
    -0.67
    Column
    -0.66
    ãģķ
    -0.66
    batch
    -0.65
    amera
    -0.63
    POSITIVE LOGITS
    eers
    0.97
    arily
    0.95
     Impossible
    0.93
     accomplished
    0.86
     Vie
    0.85
    aries
    0.80
     creep
    0.79
     missions
    0.76
     mission
    0.74
    naire
    0.74
    Activations Density 0.020%

    No Known Activations