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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 23731
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    Explanations

    mentions of different types of businesses

    oai_token-act-pair · gpt-3.5-turbo

    references to businesses and enterprises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tant
    -0.64
    ference
    -0.63
    alys
    -0.63
     Surgery
    -0.61
     Revision
    -0.60
    anche
    -0.60
     Gau
    -0.60
    imum
    -0.60
     Symptoms
    -0.57
    arity
    -0.57
    POSITIVE LOGITS
     owners
    1.07
    folk
    0.99
     owner
    0.97
     establishments
    0.89
    owners
    0.88
    INESS
    0.87
    owner
    0.85
     Owner
    0.83
     enterprises
    0.83
     ventures
    0.81
    Activations Density 0.044%

    No Known Activations