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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 14384
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    INDEX
    Explanations

    adjectives and verbs related to personal characteristics and behaviors, as well as suggestions or commands for improvement

    oai_token-act-pair · gpt-3.5-turbo

    descriptors and traits related to emotional and social characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agher
    -0.67
    Ô
    -0.66
     Purg
    -0.62
    antha
    -0.60
    ciation
    -0.59
    blem
    -0.59
    è£ħ
    -0.59
    PIN
    -0.59
    BuyableInstoreAndOnline
    -0.58
    ruction
    -0.57
    POSITIVE LOGITS
     minded
    1.13
     thinkers
    1.09
     towards
    1.07
     toward
    1.00
     learners
    0.95
     discipl
    0.87
     stewards
    0.84
     personalities
    0.83
     thinker
    0.82
     defensively
    0.81
    Activations Density 0.217%

    No Known Activations