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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. 21867
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    Explanations

    references and mentions of a specific media outlet or brand

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the acronym "IGN" and its references in different contexts

    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
    tons
    -0.75
    xual
    -0.72
    zynski
    -0.68
     Fenrir
    -0.68
     Georgian
    -0.67
     Finnish
    -0.67
    foot
    -0.66
    â̦â̦â̦â̦
    -0.65
    hatt
    -0.64
     Eston
    -0.64
    POSITIVE LOGITS
    VERTISEMENT
    0.96
    ORED
    0.92
    ITION
    0.87
    uable
    0.86
    ibly
    0.86
    ution
    0.83
    ITE
    0.82
     IGN
    0.81
    ision
    0.80
    oreal
    0.77
    Activations Density 0.024%

    No Known Activations