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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. 1920
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    INDEX
    Explanations

    the name "Tol" with different variations and contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual named Tol

    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
    shapeshifter
    -0.81
     RTX
    -0.78
     Malays
    -0.75
     Gadget
    -0.73
    ************
    -0.71
     Thumbnails
    -0.69
     Socket
    -0.69
     Defenders
    -0.69
     Rivals
    -0.68
     actionGroup
    -0.63
    POSITIVE LOGITS
    uca
    1.09
    oshenko
    1.05
    atile
    0.92
    ima
    0.91
    sten
    0.89
    ocity
    0.89
    obos
    0.89
    mop
    0.88
    lette
    0.87
    enth
    0.87
    Activations Density 0.007%

    No Known Activations