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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. 1-RES-JB
    11. 11376
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    INDEX
    Explanations

    instances of "mistake" within sentences

    oai_token-act-pair · gpt-3.5-turbo

    references to mistakes or errors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    electric
    -0.79
    thood
    -0.78
    cul
    -0.78
    chairs
    -0.76
    accompan
    -0.75
    hips
    -0.75
    amen
    -0.74
    rollers
    -0.72
    elve
    -0.72
    ilings
    -0.71
    POSITIVE LOGITS
     mistake
    1.38
     mistakes
    1.12
     unfocusedRange
    1.00
    ously
    0.94
     mistaken
    0.92
     errors
    0.84
     error
    0.82
     misinterpret
    0.78
     Malf
    0.77
     dece
    0.75
    Activations Density 0.012%

    No Known Activations