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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. 9-RES-JB
    11. 16438
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    INDEX
    Explanations

    major technology companies

    oai_token-act-pair · gpt-3.5-turbo

    references to major technology and automotive companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.86
    ocious
    -0.77
    ursions
    -0.75
     portraits
    -0.75
    mire
    -0.73
    nsic
    -0.72
     routines
    -0.72
     accompan
    -0.72
    endum
    -0.71
    anian
    -0.70
    POSITIVE LOGITS
    Samsung
    1.22
     Sony
    1.21
     Motorola
    1.21
     Samsung
    1.19
     Yamaha
    1.18
     Panasonic
    1.17
    Sony
    1.16
     Pepsi
    1.15
     IBM
    1.12
     Alibaba
    1.11
    Activations Density 0.270%

    No Known Activations