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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. 10-RES-JB
    11. 5426
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    INDEX
    Explanations

    descriptions of physical attributes related to thickness

    oai_token-act-pair · gpt-3.5-turbo

    descriptive phrases emphasizing the word "thick" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bucks
    -0.76
    perty
    -0.73
    channelAvailability
    -0.70
    another
    -0.69
    APH
    -0.68
    @@@@
    -0.66
     Million
    -0.66
    once
    -0.65
    OTO
    -0.65
    tele
    -0.65
    POSITIVE LOGITS
    ening
    1.42
    ened
    1.32
    ning
    1.29
    ned
    1.15
    nesses
    1.11
    ly
    1.10
    layer
    1.07
    ens
    1.06
    ness
    0.98
     layer
    0.98
    Activations Density 0.032%

    No Known Activations