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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
    11. 6090
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    Explanations

    phrases related to college freshmen or their activities

    oai_token-act-pair · gpt-3.5-turbo

    references to students in their first year of college

    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
    ichick
    -0.81
    lance
    -0.76
    rage
    -0.72
    orius
    -0.70
    apo
    -0.69
    atari
    -0.69
    fman
    -0.69
    rosis
    -0.69
    ando
    -0.68
    uyomi
    -0.68
    POSITIVE LOGITS
     freshman
    0.88
     freshmen
    0.85
     dorm
    0.83
     slump
    0.80
    uates
    0.77
    iors
    0.74
     sophomore
    0.73
     delinqu
    0.72
     soph
    0.71
     Soph
    0.71
    Activations Density 0.016%

    No Known Activations