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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. 7-RES-JB
    6. 20371
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    Explanations

    acronyms or abbreviations related to legal entities or financial markets

    oai_token-act-pair · gpt-3.5-turbo

    the character 'O' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wip
    -0.69
    yards
    -0.67
     substitutes
    -0.65
    ãĥķ
    -0.65
    sburgh
    -0.63
     seat
    -0.62
     HH
    -0.61
    theless
    -0.61
     unfocusedRange
    -0.61
    flies
    -0.60
    POSITIVE LOGITS
    lymp
    1.23
    ceans
    1.16
    culus
    1.13
    zzi
    1.05
    vernight
    1.05
    scill
    1.05
    tto
    1.04
    OPS
    0.99
    cean
    0.98
    ctors
    0.97
    Activations Density 0.036%

    No Known Activations