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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. 12-RES-JB
    11. 4049
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    INDEX
    Explanations

    mentions of structured routines or systems

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    instances of the word "regular" and its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asus
    -0.70
     ultimately
    -0.68
    artisan
    -0.66
    bern
    -0.65
    uden
    -0.65
    owitz
    -0.61
    oulder
    -0.61
    kamp
    -0.61
    ophon
    -0.60
    Cub
    -0.60
    POSITIVE LOGITS
    ity
    1.28
     flyer
    1.14
     occurrence
    1.01
    ities
    0.99
     intervals
    0.95
     collaborator
    0.91
    ization
    0.84
    izing
    0.82
     updates
    0.82
    ITY
    0.82
    Activations Density 0.043%

    No Known Activations