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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. 13444
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    Explanations

    references to the automotive company GM (General Motors)

    oai_token-act-pair · gpt-3.5-turbo

    references to the company General Motors (GM)

    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
    lihood
    -0.97
    xual
    -0.82
    issance
    -0.79
    SourceFile
    -0.79
    landish
    -0.76
    lies
    -0.75
    nces
    -0.72
    ĺħ
    -0.71
    quez
    -0.70
    mble
    -0.70
    POSITIVE LOGITS
    GM
    0.85
    OT
    0.85
    IFIC
    0.77
    OY
    0.77
    OO
    0.76
    asted
    0.75
    TL
    0.73
    WER
    0.73
    OC
    0.73
    arten
    0.73
    Activations Density 0.007%

    No Known Activations