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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. 2-RES-JB
    11. 14971
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    INDEX
    Explanations

    mentions of influential or impacting factors or individuals in a context

    oai_token-act-pair · gpt-3.5-turbo

    references to influence in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VK
    -0.85
    ft
    -0.78
    çĦ
    -0.73
    TAG
    -0.72
    Simple
    -0.71
    Pr
    -0.71
    Quotes
    -0.68
    TH
    -0.67
    York
    -0.67
     Habit
    -0.67
    POSITIVE LOGITS
     influence
    1.16
     sway
    1.10
     pedd
    1.00
     cooker
    1.00
     influences
    0.99
     influencing
    0.92
     influenced
    0.86
    luence
    0.83
     clout
    0.83
    encia
    0.81
    Activations Density 0.022%

    No Known Activations