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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. 7-RES-JB
    11. 21394
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    Explanations

    mentions of the car manufacturing company GM

    oai_token-act-pair · gpt-3.5-turbo

    mentions of 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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.95
    issance
    -0.74
    landish
    -0.73
    lies
    -0.73
    quez
    -0.72
    dated
    -0.71
    olulu
    -0.69
    SourceFile
    -0.68
    mble
    -0.68
    nces
    -0.68
    POSITIVE LOGITS
    OT
    0.93
    APH
    0.83
    HHHH
    0.79
    ATA
    0.78
    IFIC
    0.77
    OO
    0.77
    YC
    0.75
    GM
    0.75
    BI
    0.74
    WER
    0.74
    Activations Density 0.017%

    No Known Activations