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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. 3-RES-JB
    11. 8733
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    Explanations

    words related to having personal or professional knowledge or skill in a particular area

    oai_token-act-pair · gpt-3.5-turbo

    references to personal or professional experience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    law
    -0.70
    fam
    -0.69
    ependent
    -0.69
     actionGroup
    -0.68
    vous
    -0.62
    hatt
    -0.61
    corn
    -0.61
    roup
    -0.60
    laws
    -0.60
    arters
    -0.59
    POSITIVE LOGITS
     Experience
    1.09
     experience
    1.00
    Experience
    0.99
     experiences
    0.93
    ually
    0.88
     firsthand
    0.83
    ience
    0.79
    uates
    0.79
    IENCE
    0.79
     experien
    0.74
    Activations Density 0.027%

    No Known Activations