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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. 2-RES-JB
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    Explanations

    the ending sequence "-ho" in words

    oai_token-act-pair · gpt-3.5-turbo

    the word "ho" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¡
    -0.77
     Commonwealth
    -0.73
    Interstitial
    -0.73
     totality
    -0.68
     confir
    -0.66
     Newsp
    -0.66
    packages
    -0.66
     federally
    -0.65
    rations
    -0.64
    ividual
    -0.64
    POSITIVE LOGITS
    oney
    1.09
    ppy
    1.03
    pping
    1.02
    ppo
    1.01
    arding
    1.01
    efully
    0.98
    oldown
    0.96
    quet
    0.95
    ven
    0.94
    pper
    0.94
    Activations Density 0.008%

    No Known Activations