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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
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    Explanations

    number sequences related to Intel Core processors

    oai_token-act-pair · gpt-3.5-turbo

    references to specific computer hardware model numbers

    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
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    Negative Logits
    imens
    -0.78
    ravel
    -0.68
    ruciating
    -0.68
    opathic
    -0.65
     starve
    -0.64
    redients
    -0.64
    ouls
    -0.63
    psc
    -0.63
    coe
    -0.63
     mete
    -0.62
    POSITIVE LOGITS
    USB
    0.76
    Display
    0.74
    X
    0.74
    MX
    0.73
     Alloy
    0.72
    DX
    0.71
     configuration
    0.71
    OS
    0.71
    XX
    0.70
    E
    0.69
    Activations Density 0.045%

    No Known Activations