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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. 19851
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    Explanations

    statements regarding personnel actions and decisions made by an organization

    oai_token-act-pair · gpt-3.5-turbo

    statements regarding employment status and actions taken by an organization

    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
    toggle
    -0.73
     clout
    -0.70
     crammed
    -0.68
    soDeliveryDate
    -0.68
     cops
    -0.68
     Wonders
    -0.68
    Enlarge
    -0.68
    killer
    -0.67
    overty
    -0.66
     someday
    -0.64
    POSITIVE LOGITS
    sic
    1.06
    %"
    1.05
     ..."
    1.04
     Plaintiff
    1.03
     Defendant
    0.96
     âĢ¦"
    0.95
    )."
    0.94
    )"
    0.93
    ),"
    0.92
    '"
    0.91
    Activations Density 1.400%

    No Known Activations