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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. 17252
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    Explanations

    technical terms related to statistical analysis

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to statistical sampling and its imperfections

    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
    venge
    -0.71
    gard
    -0.70
    ongyang
    -0.69
    ynes
    -0.68
    ensable
    -0.67
     powerfully
    -0.67
     glamorous
    -0.67
    ivating
    -0.66
     nour
    -0.66
     conquering
    -0.65
    POSITIVE LOGITS
     typo
    1.72
     inaccur
    1.55
     errors
    1.52
     error
    1.46
     misinterpret
    1.42
     inacc
    1.40
     inconsistency
    1.36
     inconsistencies
    1.36
     mistake
    1.33
     discrepancies
    1.31
    Activations Density 0.870%

    No Known Activations