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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. 7-RES-JB
    11. 11401
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    Explanations

    instances where false information or actions are reported or documented

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fraudulent or false claims and documentation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    versely
    -0.74
    itionally
    -0.72
    oubted
    -0.71
    staking
    -0.69
    interrupted
    -0.69
    negie
    -0.68
    ically
    -0.67
    cellaneous
    -0.66
     horm
    -0.65
    stud
    -0.65
    POSITIVE LOGITS
     syndrome
    0.87
    glers
    0.84
     Syndrome
    0.74
    Exception
    0.70
    manship
    0.70
    ãĤ¹ãĥĪ
    0.69
     Practices
    0.68
     excuse
    0.67
     Yugoslavia
    0.67
     pretext
    0.66
    Activations Density 0.305%

    No Known Activations