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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. 1903
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    INDEX
    Explanations

    phrases related to levels of expertise or experience, particularly emphasizing experienced individuals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to experience levels of individuals in various fields

    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
    otions
    -0.91
    rompt
    -0.82
    arching
    -0.78
    itory
    -0.75
    idges
    -0.75
    amera
    -0.75
    ramid
    -0.74
    otion
    -0.73
    anguage
    -0.72
    ollen
    -0.72
    POSITIVE LOGITS
     traveler
    1.04
     adventurer
    0.98
     musician
    0.97
     professionals
    0.96
     servic
    0.96
     practitioner
    0.96
     entrepreneur
    0.95
     programmer
    0.94
     performer
    0.94
     observer
    0.94
    Activations Density 0.252%

    No Known Activations