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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. 4-RES-JB
    11. 1100
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    Explanations

    phrases related to online articles and publications

    oai_token-act-pair · gpt-3.5-turbo

    references to news articles and media sources

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

    No Comments

    Negative Logits
     Belt
    -0.75
    âĻ¦
    -0.69
     DRAG
    -0.68
     Yel
    -0.67
     ÂŃ
    -0.66
     Gamble
    -0.65
     Goo
    -0.64
     «
    -0.64
     doubling
    -0.61
     Reed
    -0.61
    POSITIVE LOGITS
    /?
    1.10
    /)
    1.09
    /#
    0.98
    /,
    0.91
    /.
    0.89
    /"
    0.89
    _
    0.85
    utorial
    0.82
    /_
    0.80
    _(
    0.78
    Activations Density 0.144%

    No Known Activations