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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. 6590
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    Explanations

    verbs related to physical exertion or hard work

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hustling and struggle

    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
    meal
    -0.85
    Interstitial
    -0.79
    nsic
    -0.74
    adder
    -0.70
    ocally
    -0.69
    izations
    -0.69
     genital
    -0.68
    USE
    -0.68
     Doctrine
    -0.66
    vironment
    -0.65
    POSITIVE LOGITS
     hust
    1.14
    ernaut
    0.91
    lers
    0.87
    keye
    0.79
    aneers
    0.79
    shaw
    0.78
    heet
    0.76
    enance
    0.74
    ilda
    0.74
     Vaugh
    0.74
    Activations Density 0.014%

    No Known Activations