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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. 9-RES-JB
    11. 13707
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    timestamps

    oai_token-act-pair · gpt-3.5-turbo

    references to specific times or timestamps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PLE
    -0.68
     benefiting
    -0.63
    quartered
    -0.62
    thumbnails
    -0.60
    pert
    -0.58
     benefited
    -0.58
    felt
    -0.56
     ceilings
    -0.55
    Registered
    -0.55
    cone
    -0.54
    POSITIVE LOGITS
     least
    1.08
    onement
    0.99
    rium
    0.92
    rial
    0.87
    las
    0.87
     halftime
    0.79
    oning
    0.79
     infinity
    0.75
    hens
    0.75
     sunset
    0.74
    Activations Density 0.116%

    No Known Activations