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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. 10-RES-JB
    11. 6872
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    Explanations

    terms associated with strong emotions or emphasis, such as 'liked' and 'lacked'

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the letter 'l'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     prohibition
    -0.64
     Satanic
    -0.63
     Prohibition
    -0.62
    ãĥ¯ãĥ³
    -0.62
    ãĥ¼ãĥĨãĤ£
    -0.62
     spirited
    -0.61
     Rim
    -0.60
     proport
    -0.60
     BART
    -0.60
     compensated
    -0.59
    POSITIVE LOGITS
    ocated
    1.39
    aptop
    1.37
    ifestyle
    1.36
    ongevity
    1.35
    ateral
    1.34
    oyal
    1.32
    ayers
    1.30
    ibrarian
    1.29
    apsed
    1.27
    azy
    1.26
    Activations Density 0.027%

    No Known Activations