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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. 9-RES-JB
    11. 3252
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    Explanations

    terms related to revealing or uncovering some kind of information or truth

    oai_token-act-pair · gpt-3.5-turbo

    terms related to revealing or disclosing information

    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
    starter
    -0.73
    elle
    -0.71
    assian
    -0.64
    yip
    -0.64
    alez
    -0.64
    otor
    -0.64
    acqu
    -0.64
     farewell
    -0.63
    otti
    -0.62
    colo
    -0.61
    POSITIVE LOGITS
     weaknesses
    1.13
     flaws
    1.07
     vulnerabilities
    0.98
     loopholes
    0.97
     weakness
    0.89
     truths
    0.89
     shortcomings
    0.87
    ibilities
    0.84
     hypocrisy
    0.84
     wrongdoing
    0.83
    Activations Density 0.051%

    No Known Activations