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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. 10-RES-JB
    11. 5046
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    Explanations

    phrases and terms related to correcting errors or inaccuracies

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "correct" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atos
    -0.86
    aden
    -0.78
    thin
    -0.70
    NetMessage
    -0.67
     carrot
    -0.66
     challeng
    -0.66
    atten
    -0.65
    mop
    -0.64
    kees
    -0.64
    anqu
    -0.64
    POSITIVE LOGITS
     spelling
    0.93
    able
    0.89
    ions
    0.85
     misinformation
    0.84
    ness
    0.82
     pronunciation
    0.82
     erroneous
    0.80
    orate
    0.79
    ably
    0.79
    ives
    0.79
    Activations Density 0.032%

    No Known Activations