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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. 21345
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    INDEX
    Explanations

    verbs and phrases related to taking action or making an effort

    oai_token-act-pair · gpt-3.5-turbo

    verbs associated with actions or activities

    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
    Downloadha
    -0.64
     wont
    -0.54
    quartered
    -0.50
    torn
    -0.48
    obs
    -0.48
    blogspot
    -0.48
    >>\
    -0.47
    itcher
    -0.47
    jar
    -0.46
    DragonMagazine
    -0.45
    POSITIVE LOGITS
     oneself
    0.95
    uate
    0.84
    enance
    0.82
    ulate
    0.77
    igate
    0.69
    itate
    0.66
    ISE
    0.65
     yourself
    0.64
     them
    0.64
    dress
    0.64
    Activations Density 0.708%

    No Known Activations