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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. 0-RES-JB
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    Explanations

    phrases related to historical events or specific terms such as "WWII" and "WWF"

    oai_token-act-pair · gpt-3.5-turbo

    references to the initials "WW" and related acronyms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rubio
    -0.72
    isa
    -0.69
     Reid
    -0.67
    ration
    -0.66
     Brennan
    -0.66
    pires
    -0.65
     Tray
    -0.65
     capsules
    -0.63
     pedals
    -0.63
    ason
    -0.63
    POSITIVE LOGITS
    WW
    3.57
     WW
    3.32
     WWF
    1.85
    ww
    1.79
     WWII
    1.49
     WC
    1.26
    WC
    1.23
    WP
    1.14
    WS
    1.10
     WD
    1.09
    Activations Density 0.024%

    No Known Activations