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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. 11-RES-JB
    11. 5020
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    INDEX
    Explanations

    mentions of the name "Bert" with varying importance

    oai_token-act-pair · gpt-3.5-turbo

    the word "Mert" as a recurring subject or reference throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    AW
    -0.71
    ntax
    -0.68
    Ĥª
    -0.66
    Ĥİ
    -0.64
    creen
    -0.63
     psycho
    -0.62
     bait
    -0.61
    TOR
    -0.60
    tips
    -0.59
    SHIP
    -0.59
    POSITIVE LOGITS
    aining
    1.10
    ificate
    1.07
    ained
    1.05
    ogether
    1.00
    onomy
    0.97
    ains
    0.96
    ickets
    0.95
    urbed
    0.94
    iary
    0.94
    zman
    0.93
    Activations Density 0.059%

    No Known Activations