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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. 3-RES-JB
    11. 4657
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    INDEX
    Explanations

    numerical values expressed with a decimal point

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics related to various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umbn
    -0.84
    busters
    -0.74
    adobe
    -0.70
    pty
    -0.67
    idays
    -0.65
    limits
    -0.64
    redo
    -0.64
    strings
    -0.64
    udeb
    -0.63
    values
    -0.63
    POSITIVE LOGITS
     billion
    0.84
     million
    0.80
    3333
    0.78
     trillion
    0.77
    000000
    0.77
    6666
    0.74
    659
    0.74
    66666666
    0.73
    00000000
    0.73
    307
    0.73
    Activations Density 0.118%

    No Known Activations