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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
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    Explanations

    the term "drink" and related actions or contexts involving drinking

    oai_token-act-pair · gpt-3.5-turbo

    references to drinking beverages, particularly alcoholic drinks

    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
    RAY
    -0.65
     Hilbert
    -0.65
    DIR
    -0.63
    guided
    -0.63
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.61
    stretched
    -0.61
    ortex
    -0.60
    eq
    -0.59
    roe
    -0.59
    66666666
    -0.58
    POSITIVE LOGITS
     Drink
    1.32
     drinkers
    1.31
     drink
    1.26
    cohol
    1.24
     drinks
    1.15
     beverage
    1.15
     beverages
    1.13
     drinking
    1.05
     alcohol
    1.04
     liquor
    0.98
    Activations Density 0.011%

    No Known Activations