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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. 2-RES-JB
    11. 22164
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    INDEX
    Explanations

    references to construction or building activities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "built" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mun
    -0.75
    sen
    -0.72
    nee
    -0.69
    ino
    -0.69
    76561
    -0.67
    Universal
    -0.67
    mma
    -0.66
    ICE
    -0.66
    apple
    -0.66
    andum
    -0.65
    POSITIVE LOGITS
     constructed
    0.97
    built
    0.80
    urally
    0.78
     Seym
    0.75
     erected
    0.74
     bridges
    0.73
    urat
    0.72
    smanship
    0.71
     constructing
    0.70
     built
    0.69
    Activations Density 0.023%

    No Known Activations