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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. 12-RES-JB
    11. 4137
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    Explanations

    Twitter URLs with high activation values

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    URL links and associated social media references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .",
    -1.02
     ',
    -1.01
    ',"
    -0.90
    ,'"
    -0.84
     '.
    -0.81
    ',
    -0.78
     ,"
    -0.77
    !",
    -0.75
    `,
    -0.74
    '),
    -0.70
    POSITIVE LOGITS
     (-
    0.69
     (~
    0.66
     —
    0.64
    ĸļ
    0.57
    ↵
    0.57
    theless
    0.55
     [-
    0.55
     (@
    0.54
     ["
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    ((
    0.54
    Activations Density 0.277%

    No Known Activations