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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. 8-RES-JB
    11. 24117
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    Explanations

    specific numbers that refer to addresses or locations

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly those associated with specific blocks or locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    robe
    -0.83
    BOOK
    -0.73
    warts
    -0.72
    book
    -0.69
    ework
    -0.68
    iful
    -0.67
    ampa
    -0.67
    akable
    -0.65
    yang
    -0.63
    arette
    -0.63
    POSITIVE LOGITS
    mph
    1.00
    00000
    1.00
    Hz
    0.91
    âĸĪ
    0.91
    00
    0.89
    rf
    0.84
    px
    0.77
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.77
    MHz
    0.75
     ILCS
    0.75
    Activations Density 0.048%

    No Known Activations