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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. 24381
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    Explanations

    mentions of students or student-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to students and student-related entities

    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
    ality
    -0.77
    ichick
    -0.75
    nect
    -0.74
    obin
    -0.68
    rays
    -0.68
    icia
    -0.68
    bons
    -0.67
    bably
    -0.67
    oscope
    -0.65
     Bots
    -0.64
    POSITIVE LOGITS
     Loan
    0.85
     loan
    0.81
    holder
    0.80
    uates
    0.77
    inary
    0.76
    iate
    0.74
     tuition
    0.74
    student
    0.74
     loans
    0.73
    boys
    0.73
    Activations Density 0.036%

    No Known Activations