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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. 1-RES-JB
    11. 11282
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    Explanations

    mentions of the company AOL

    oai_token-act-pair · gpt-3.5-turbo

    mentions of AOL and its relationship with other media companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Hun
    -0.82
     Riy
    -0.77
     Beasts
    -0.76
    hani
    -0.72
    lights
    -0.72
    videos
    -0.71
    ochemical
    -0.71
    agents
    -0.70
     Democr
    -0.67
    EVA
    -0.66
    POSITIVE LOGITS
     AOL
    0.81
    sburgh
    0.80
    lett
    0.80
    imity
    0.75
     Beans
    0.74
     certific
    0.73
     BCC
    0.73
    oat
    0.72
    itud
    0.71
    itude
    0.71
    Activations Density 0.008%

    No Known Activations