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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. 6-RES-JB
    6. 13387
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    Explanations

    phrases related to physical contact or control

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating control or possession over something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gradation
    -0.80
    ivari
    -0.74
    relation
    -0.69
    apeshifter
    -0.69
    flies
    -0.69
    opl
    -0.68
    oday
    -0.66
    xp
    -0.66
    letter
    -0.66
    Ĥİ
    -0.66
    POSITIVE LOGITS
    orsi
    0.69
     Crescent
    0.64
     nervously
    0.64
    eton
    0.61
     infinity
    0.60
    utra
    0.59
    anamo
    0.58
    ebus
    0.58
     unpop
    0.57
     Consent
    0.56
    Activations Density 0.118%

    No Known Activations