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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. 6794
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    INDEX
    Explanations

    phrases related to drawing or being attracted to certain activities or situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "drawn."

    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
    icum
    -0.77
    hal
    -0.75
    ateral
    -0.74
    ocker
    -0.70
    ocol
    -0.69
    mma
    -0.68
    ican
    -0.65
    rella
    -0.64
    omon
    -0.63
    duc
    -0.63
    POSITIVE LOGITS
     drawn
    1.27
     Drawn
    1.01
     drawing
    0.95
     Drawing
    0.86
     draws
    0.81
    GGGGGGGG
    0.79
    drawn
    0.79
     "$:/
    0.74
     irresist
    0.71
    tips
    0.70
    Activations Density 0.011%

    No Known Activations