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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. 7-RES-JB
    11. 3700
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inho
    -0.80
    heit
    -0.79
    QL
    -0.73
    $$$$
    -0.71
    zbek
    -0.71
    lly
    -0.70
    Hub
    -0.70
    ashtra
    -0.69
    Maker
    -0.67
    <?
    -0.67
    POSITIVE LOGITS
     initial
    0.91
     expiration
    0.88
     completion
    0.85
     arrival
    0.77
    mortem
    0.76
     exhausting
    0.74
     collapse
    0.74
     incident
    0.73
     introductory
    0.72
     cessation
    0.72
    Activations Density 0.135%

    No Known Activations