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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. 8-RES-JB
    11. 11748
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    INDEX
    Explanations

    numerical data and instances of mistakes or errors

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to statistical errors or discrepancies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.72
     nour
    -0.68
    worth
    -0.68
    ynes
    -0.68
    mons
    -0.68
    oire
    -0.66
    mens
    -0.66
     Powerful
    -0.64
    ounces
    -0.64
     empowering
    -0.64
    POSITIVE LOGITS
     typo
    1.67
     inaccur
    1.52
     errors
    1.50
     error
    1.36
     inconsistencies
    1.35
     glitches
    1.34
     inconsistency
    1.33
     discrepancies
    1.31
     misinterpret
    1.26
     incorrect
    1.24
    Activations Density 1.224%

    No Known Activations