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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. 10-RES-JB
    11. 4475
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     blur
    -0.71
     awa
    -0.70
    strings
    -0.68
     whis
    -0.60
    killers
    -0.58
    otrop
    -0.58
     identifiable
    -0.57
     void
    -0.57
     McCain
    -0.57
     away
    -0.57
    POSITIVE LOGITS
    IRE
    1.37
    KT
    1.35
    KI
    1.32
    UNE
    1.27
    KA
    1.25
    ER
    1.24
    AN
    1.23
    ITE
    1.23
    IX
    1.21
    OL
    1.21
    Activations Density 0.193%

    No Known Activations