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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. 11-RES-JB
    11. 14071
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    INDEX
    Explanations

    instances of attempts or efforts that didn't succeed

    oai_token-act-pair · gpt-3.5-turbo

    instances of failure or lack of success

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éĹĺ
    -0.78
    visory
    -0.69
    inventoryQuantity
    -0.69
    conservancy
    -0.66
    uci
    -0.65
    essential
    -0.63
    CHAPTER
    -0.62
    duty
    -0.62
    Secondly
    -0.61
    emouth
    -0.60
    POSITIVE LOGITS
    success
    1.43
     success
    1.43
     unsuccessful
    1.30
     results
    1.25
    successful
    1.23
     succeeded
    1.21
     succeeds
    1.21
     successes
    1.19
     successful
    1.16
    successfully
    1.11
    Activations Density 0.659%

    No Known Activations