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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. 3-RES-JB
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    Explanations

    mentions of students in their first year of college (freshmen)

    oai_token-act-pair · gpt-3.5-turbo

    references to the status of being a freshman in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arcity
    -0.73
    ando
    -0.71
    rage
    -0.70
    ichick
    -0.69
    igree
    -0.69
    ainer
    -0.68
    itz
    -0.68
    apo
    -0.68
    fman
    -0.67
    agons
    -0.67
    POSITIVE LOGITS
     freshman
    0.92
     freshmen
    0.89
    uates
    0.88
     dorm
    0.83
     slump
    0.82
     delinqu
    0.79
     sophomore
    0.76
    iors
    0.73
     soph
    0.71
     Soph
    0.70
    Activations Density 0.013%

    No Known Activations