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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. 2196
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    oai_token-act-pair · gpt-3.5-turbo

    words related to technical processes or actions

    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
     Seym
    -0.80
     Tsukuyomi
    -0.68
     Nou
    -0.63
    Þ
    -0.63
    occup
    -0.62
    amar
    -0.61
    ãĤ«
    -0.61
    BuyableInstoreAndOnline
    -0.61
    quart
    -0.58
    mat
    -0.56
    POSITIVE LOGITS
    ulate
    1.03
    ify
    0.91
    enance
    0.90
    ibly
    0.87
     oneself
    0.84
     yourself
    0.83
    uate
    0.82
    igate
    0.80
     yourselves
    0.80
     ourselves
    0.80
    Activations Density 0.298%

    No Known Activations