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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 12165
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    INDEX
    Explanations

    phrases with the word "draw" followed by a concept or action

    oai_token-act-pair · gpt-3.5-turbo

    phrases that mention drawing a distinction or a line, particularly in a metaphorical or critical sense

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nown
    -0.81
    uploads
    -0.75
    ESA
    -0.69
    ailability
    -0.66
    Ü
    -0.65
     unden
    -0.64
     Atkins
    -0.63
    ãĥĺ
    -0.63
     Inher
    -0.62
    atever
    -0.61
    POSITIVE LOGITS
     conclusion
    0.79
     ire
    0.77
     conclusions
    0.76
     attention
    0.71
    ogly
    0.69
     straw
    0.68
    circle
    0.68
    umbn
    0.67
    brid
    0.67
     Dull
    0.66
    Activations Density 0.114%

    No Known Activations