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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. 16596
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    Explanations

    phrases related to names or titles

    oai_token-act-pair · gpt-3.5-turbo

    references to names and titles

    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
    aples
    -0.76
    kus
    -0.75
    icer
    -0.75
    etimes
    -0.70
    chuk
    -0.69
    COMPLE
    -0.68
    erker
    -0.67
    estern
    -0.67
    isner
    -0.64
    thumbnails
    -0.64
    POSITIVE LOGITS
    plate
    1.30
    plates
    1.07
     derives
    1.02
     implies
    0.92
     refers
    0.90
     suggests
    0.82
     recognition
    0.78
     signifies
    0.77
     synonymous
    0.76
     tag
    0.75
    Activations Density 0.077%

    No Known Activations