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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 17009
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    Explanations

    instances of failure

    oai_token-act-pair · gpt-3.5-turbo

    instances of failure to meet expectations or obligations

    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
    )</
    -0.69
    nee
    -0.67
     Travels
    -0.64
    den
    -0.63
     VIDE
    -0.61
    Tracker
    -0.61
    çľ
    -0.58
    ãĤ©
    -0.58
    )!
    -0.57
    çͰ
    -0.56
    POSITIVE LOGITS
     adequately
    1.51
     nor
    1.37
     adequate
    1.23
     properly
    1.22
     sufficiently
    1.21
     sufficient
    1.11
     anymore
    1.10
     timely
    1.10
     satisfactory
    1.01
     satisf
    1.01
    Activations Density 0.779%

    No Known Activations