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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. 9-RES-JB
    11. 19592
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    Explanations

    phrases related to precision and correctness

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing correctness and precision

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scorn
    -0.72
     ard
    -0.68
    anton
    -0.67
     mourning
    -0.67
     rage
    -0.64
     pity
    -0.64
     inaction
    -0.61
     ridicule
    -0.61
     todd
    -0.61
    izens
    -0.60
    POSITIVE LOGITS
    aneously
    0.86
     calibrated
    0.76
     aligned
    0.76
     alignment
    0.75
    aneous
    0.71
     proportions
    0.71
    .
    0.70
    Fit
    0.68
     consistency
    0.68
    aligned
    0.67
    Activations Density 0.242%

    No Known Activations