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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
    11. 15325
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    oai_token-act-pair · gpt-3.5-turbo

    technical terms and jargon related to data, integration, and statistics

    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
    Ire
    -0.71
    é¾įå
    -0.68
    PLA
    -0.67
    attering
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    ãģĻ
    -0.66
    Common
    -0.65
    istine
    -0.65
    artney
    -0.64
    Tokens
    -0.63
    Miami
    -0.63
    POSITIVE LOGITS
     Tracks
    0.68
     Edit
    0.65
     Emails
    0.65
     ----------------
    0.65
     Tags
    0.65
     âĵĺ
    0.64
     huh
    0.63
     --------------------
    0.62
     Lists
    0.62
     Bits
    0.62
    Activations Density 1.402%

    No Known Activations