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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. 11-RES-JB
    11. 14160
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    Explanations

    words related to committees or groups of people chosen for a specific purpose

    oai_token-act-pair · gpt-3.5-turbo

    the word "select" and its variations in the context of committees or decision-making groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FORE
    -0.77
    ufact
    -0.65
    olid
    -0.64
    agos
    -0.63
     Cheong
    -0.62
    alone
    -0.61
     largeDownload
    -0.61
    brance
    -0.61
     Mermaid
    -0.60
    ¯¯¯¯
    -0.59
    POSITIVE LOGITS
    ivity
    1.19
    ively
    1.02
    selection
    0.94
    ive
    0.92
    picked
    0.82
     criteria
    0.82
    ivities
    0.82
     committees
    0.79
    ions
    0.78
    ives
    0.78
    Activations Density 0.040%

    No Known Activations