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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. 1-RES-JB
    11. 2006
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    keywords related to translation and interpretation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to interpreting and translation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onies
    -0.89
    âĵĺ
    -0.81
    Compat
    -0.80
    achine
    -0.79
    dy
    -0.71
    Pie
    -0.71
    aign
    -0.71
    NH
    -0.70
    Bad
    -0.68
    dd
    -0.68
    POSITIVE LOGITS
     interpreter
    1.50
     interpre
    1.42
     translator
    1.04
     transl
    0.99
     interpreting
    0.81
     translation
    0.77
     REPL
    0.72
     Duncan
    0.71
     lang
    0.70
     deported
    0.70
    Activations Density 0.010%

    No Known Activations