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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. 7-RES-JB
    11. 9655
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     EntityItem
    -0.71
    DEF
    -0.67
    urst
    -0.66
    master
    -0.66
    REDACTED
    -0.64
    doors
    -0.63
     Fundamental
    -0.63
    landers
    -0.62
    TERN
    -0.62
    sburg
    -0.62
    POSITIVE LOGITS
    pper
    1.22
    ppy
    1.19
    osing
    1.13
    ices
    1.08
    oser
    1.06
    pped
    1.00
    osen
    0.99
    ppers
    0.98
    ppa
    0.93
    oses
    0.90
    Activations Density 0.015%

    No Known Activations