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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. 22606
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    Explanations

    numerical values within a specific range (e.g., 0 to 255) in text

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating possession or ownership

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ensing
    -0.72
     prosecuting
    -0.66
     territ
    -0.64
    TG
    -0.63
    PHOTOS
    -0.63
     behold
    -0.62
    cus
    -0.61
    EMBER
    -0.60
    bart
    -0.59
    etting
    -0.58
    POSITIVE LOGITS
     been
    1.39
     undergone
    1.29
    been
    1.18
     Been
    1.10
    kell
    1.05
    stood
    0.95
     gone
    0.94
     arisen
    0.92
     become
    0.91
     gotten
    0.90
    Activations Density 0.332%

    No Known Activations