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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. 2-RES-JB
    11. 13432
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    Explanations

    references to a specific company, IBM, including mentions of job offers, partnerships, subsidiaries, and technical details

    oai_token-act-pair · gpt-3.5-turbo

    references to IBM

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uberty
    -0.71
    igun
    -0.70
    venge
    -0.69
    nels
    -0.69
    length
    -0.69
    icans
    -0.68
    fully
    -0.67
    olulu
    -0.67
    ibus
    -0.66
    gas
    -0.65
    POSITIVE LOGITS
     Watson
    1.04
     IBM
    0.87
     Doodle
    0.82
    ython
    0.78
     Corporation
    0.77
    Cola
    0.72
     Keyboard
    0.72
     Advantage
    0.71
    ITED
    0.70
     Labs
    0.69
    Activations Density 0.010%

    No Known Activations