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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. 6-RES-JB
    11. 14750
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    Explanations

    medical examinations related to various contexts, such as education, certification, and sexual assault

    oai_token-act-pair · gpt-3.5-turbo

    words related to exams and testing situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    birds
    -0.68
    cedented
    -0.67
    gren
    -0.65
    bread
    -0.63
    memory
    -0.61
     Hots
    -0.60
    deals
    -0.58
    ]=
    -0.58
    externalActionCode
    -0.58
     isolated
    -0.58
    POSITIVE LOGITS
    iners
    1.23
     exams
    1.03
     exam
    0.96
     examinations
    0.93
     Exam
    0.87
     examiner
    0.79
    ueller
    0.77
     screenings
    0.76
    arate
    0.75
    iology
    0.74
    Activations Density 0.029%

    No Known Activations