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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. 4-RES-JB
    11. 10906
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    Explanations

    phrases indicating putting something aside or allocating it for later use

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve setting something aside

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

    No Comments

    Negative Logits
    ebus
    -0.67
    ingo
    -0.67
     coefficients
    -0.65
    cat
    -0.64
    izzard
    -0.62
     Cao
    -0.60
     bombed
    -0.58
    wyn
    -0.58
    cest
    -0.57
     inacc
    -0.56
    POSITIVE LOGITS
    heid
    0.91
     aside
    0.81
    MENTS
    0.77
    Ĥª
    0.74
    mental
    0.73
    ħĭ
    0.70
    utical
    0.69
    ilitarian
    0.67
    conservancy
    0.66
     waivers
    0.66
    Activations Density 0.008%

    No Known Activations