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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. 9-RES-JB
    6. 14673
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    Explanations

    words with 'h' followed by a number, potentially representing errors or codes in a technical context

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'h'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nightmares
    -0.64
     merc
    -0.61
     presses
    -0.60
     Tyrann
    -0.59
     Appropriations
    -0.58
     Suns
    -0.58
    iatrics
    -0.57
     pandemonium
    -0.57
    glomer
    -0.57
     Revival
    -0.56
    POSITIVE LOGITS
    adow
    1.22
    ield
    1.15
    irts
    1.10
    ooter
    1.07
    IFT
    1.00
    oulder
    0.99
    uffle
    0.99
    ifting
    0.99
    ooters
    0.99
    aders
    0.98
    Activations Density 0.044%

    No Known Activations