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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. 430
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    Explanations

    mentions of mistakes or shortcomings

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "failure."

    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
    rete
    -0.77
    enfranch
    -0.69
     BST
    -0.67
    Revolution
    -0.67
    etch
    -0.65
     Directions
    -0.64
    oret
    -0.64
    esthetic
    -0.63
     Nanto
    -0.63
    atures
    -0.63
    POSITIVE LOGITS
     failure
    1.26
     failures
    1.21
    fail
    1.04
     miser
    1.04
    Failure
    1.02
     fail
    0.89
     Failure
    0.88
     attempt
    0.87
     unwillingness
    0.86
     fails
    0.83
    Activations Density 0.011%

    No Known Activations