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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 22525
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    Explanations

    instances of failing to do something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "fail" and its variations as well as failures to meet expectations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.81
    EStream
    -0.74
    Sold
    -0.70
    Textures
    -0.69
    Flo
    -0.69
    Reader
    -0.65
    Fra
    -0.64
     Cutter
    -0.63
     Canary
    -0.63
     Vec
    -0.62
    POSITIVE LOGITS
     comply
    1.27
     adequately
    1.26
     capitalize
    1.24
     disclose
    1.24
     anticipate
    1.21
     recognize
    1.21
     adhere
    1.21
     heed
    1.20
     fulfill
    1.20
     grasp
    1.18
    Activations Density 0.065%

    No Known Activations