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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    the word "roy" with varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the word "roy" 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
    pmwiki
    -0.65
     pity
    -0.62
     realistic
    -0.60
     applic
    -0.60
     Trave
    -0.60
     hereafter
    -0.59
     Ammo
    -0.59
    iquid
    -0.58
     Humanity
    -0.58
     Invest
    -0.58
    POSITIVE LOGITS
    alties
    1.17
    alty
    1.01
    roy
    0.98
    dy
    0.96
    don
    0.94
    rence
    0.93
    imet
    0.88
    ski
    0.88
    doms
    0.88
    din
    0.87
    Activations Density 0.005%

    No Known Activations