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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. 3-RES-JB
    11. 3045
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    Explanations

    phrases related to the frozen dessert "ice cream"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of ice cream

    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
    vernment
    -0.83
     Standing
    -0.81
    SPONSORED
    -0.71
     Stras
    -0.71
    ARR
    -0.70
    SN
    -0.67
     bounds
    -0.64
     uncontrolled
    -0.62
    VERS
    -0.61
     latent
    -0.61
    POSITIVE LOGITS
    iness
    1.05
    eteria
    0.92
    ware
    0.92
    cup
    0.92
     beverage
    0.89
     soda
    0.87
    erville
    0.86
    cream
    0.85
     cake
    0.84
    boarding
    0.84
    Activations Density 0.018%

    No Known Activations