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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. 4-RES-JB
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    Explanations

    mentions of students

    oai_token-act-pair · gpt-3.5-turbo

    references to students and student-related topics

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

    No Comments

    Negative Logits
    ality
    -0.74
    ichick
    -0.72
    bably
    -0.72
    nect
    -0.70
    rays
    -0.69
    oscope
    -0.69
     Bots
    -0.65
    otomy
    -0.64
    rosis
    -0.62
    obin
    -0.61
    POSITIVE LOGITS
    student
    0.85
    boys
    0.82
     Loan
    0.80
    Student
    0.80
    holder
    0.80
     tuition
    0.79
    atical
    0.79
     loan
    0.76
    boy
    0.75
     Loans
    0.73
    Activations Density 0.021%

    No Known Activations