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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. 11568
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    Explanations

    terms related to commercial activities or businesses

    oai_token-act-pair · gpt-3.5-turbo

    occurrences and references to commercial activities and industries

    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
    arios
    -0.81
    ologies
    -0.77
    xual
    -0.76
    hov
    -0.74
     Benedict
    -0.73
    itia
    -0.71
    essee
    -0.71
    alos
    -0.69
    borough
    -0.68
    bite
    -0.67
    POSITIVE LOGITS
    ization
    1.27
    ized
    1.26
    izing
    1.10
    ised
    1.05
     airliner
    1.04
    isation
    1.02
     enterprises
    1.01
    izes
    1.01
    ising
    0.96
     enterprise
    0.95
    Activations Density 0.019%

    No Known Activations