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    1. Home
    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. 14871
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    INDEX
    Explanations

    network terms or occupations, particularly related to journalism and writing, such as 'blogger' and 'columnist'

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals with roles in journalism and blogging

    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
    zik
    -0.85
    lucent
    -0.76
    loaded
    -0.70
    angan
    -0.67
    aband
    -0.66
    alin
    -0.66
    ramid
    -0.65
    doors
    -0.64
    ierrez
    -0.62
     Pradesh
    -0.62
    POSITIVE LOGITS
     laureate
    0.99
     blogger
    0.94
    blogs
    0.91
     extraord
    0.88
     blogs
    0.86
     bloggers
    0.84
     columnist
    0.82
    osphere
    0.79
     blogging
    0.77
    itatively
    0.74
    Activations Density 0.045%

    No Known Activations