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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 22073
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    INDEX
    Explanations

    descriptive and impactful words related to various situations and objects

    oai_token-act-pair · gpt-3.5-turbo

    terms related to negative or challenging situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ernels
    -0.64
    events
    -0.63
     bells
    -0.57
    rooms
    -0.57
     Cups
    -0.57
     interfaces
    -0.56
     channels
    -0.56
     embassies
    -0.55
     Vaugh
    -0.55
     rooms
    -0.54
    POSITIVE LOGITS
     spokesperson
    0.58
    ozy
    0.58
     apology
    0.56
     standpoint
    0.56
    ccording
    0.55
     perspective
    0.52
     spokeswoman
    0.49
     figure
    0.49
     Perspective
    0.49
     clutch
    0.48
    Activations Density 1.558%

    No Known Activations