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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 1769
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    Explanations

    names and proper nouns related to individuals

    oai_token-act-pair · gpt-3.5-turbo

    the term "rand" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Referred
    -0.79
     thirsty
    -0.70
     substance
    -0.67
    IBLE
    -0.67
     towed
    -0.66
     DMV
    -0.65
     Volunteer
    -0.65
    kens
    -0.63
    cussion
    -0.62
     wastewater
    -0.61
    POSITIVE LOGITS
    rand
    1.55
     rand
    1.12
    olph
    1.10
    DragonMagazine
    1.03
    emonium
    0.85
    uin
    0.85
    ray
    0.84
    stad
    0.81
    zsche
    0.80
    Rand
    0.80
    Activations Density 0.010%

    No Known Activations