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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. 15272
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Max" in various contexts

    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
    GROUND
    -0.67
    selves
    -0.66
     vag
    -0.63
     referendum
    -0.59
     revolving
    -0.59
    arers
    -0.58
    wark
    -0.58
    OPLE
    -0.58
    ************
    -0.57
     changing
    -0.57
    POSITIVE LOGITS
    imus
    1.52
    imil
    1.48
    imize
    1.42
    imal
    1.17
    ima
    1.13
    ims
    1.07
    imo
    1.06
    ime
    1.04
    imum
    1.00
    imate
    0.95
    Activations Density 0.030%

    No Known Activations