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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. 15539
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    oai_token-act-pair · gpt-3.5-turbo

    references to specific sources or citations

    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
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    No Comments

    Negative Logits
     Lima
    -0.70
     Galile
    -0.66
     floppy
    -0.65
    Front
    -0.65
     [|
    -0.65
    ISO
    -0.64
    SUP
    -0.64
    LET
    -0.61
     Zamb
    -0.61
    OTS
    -0.59
    POSITIVE LOGITS
    mith
    1.29
    rs
    1.04
    terday
    1.04
    ession
    0.99
    ocial
    0.98
    cream
    0.98
    abbit
    0.98
    idency
    0.98
    ucker
    0.98
    une
    0.97
    Activations Density 0.010%

    No Known Activations