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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. 4-RES-JB
    11. 16597
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    Explanations

    references to different versions or names of a computer mouse, particularly one named "MX"

    oai_token-act-pair · gpt-3.5-turbo

    references to "mas" or terms associated with the word "mass."

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

    No Comments

    Negative Logits
    hook
    -0.78
     Giles
    -0.74
    arte
    -0.72
    ORED
    -0.69
    stall
    -0.62
    anging
    -0.62
    ancies
    -0.62
    ICLE
    -0.61
     Holmes
    -0.61
    tan
    -0.59
    POSITIVE LOGITS
    emonic
    0.92
    terday
    0.87
    ertodd
    0.86
    fw
    0.84
    querade
    0.82
    useum
    0.77
    ovember
    0.76
    onday
    0.75
    ãĥ£
    0.75
    xual
    0.75
    Activations Density 0.032%

    No Known Activations