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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. 6556
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    INDEX
    Explanations

    proper nouns, such as names of individuals or specific entities

    oai_token-act-pair · gpt-3.5-turbo

    unique identifiers or specific terms related to various subjects

    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
    ],"
    -0.76
    interstitial
    -0.76
    anmar
    -0.64
    ibaba
    -0.62
    azard
    -0.58
     CFL
    -0.56
    anchester
    -0.56
     epid
    -0.55
    ',"
    -0.55
    veyard
    -0.54
    POSITIVE LOGITS
     meanwhile
    0.80
     however
    0.79
     ---------
    0.74
    udos
    0.74
     solves
    0.71
    beit
    0.71
     refers
    0.70
     assures
    0.70
     disagrees
    0.67
     emphasizes
    0.67
    Activations Density 0.677%

    No Known Activations