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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. 21879
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    Explanations

    words and phrases related to experiences within concentration camps or themes related to them

    oai_token-act-pair · gpt-3.5-turbo

    terms related to roles or categories within societal or historical 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
    ynthesis
    -0.85
    vae
    -0.78
    cies
    -0.74
    selves
    -0.73
     Continental
    -0.66
    yss
    -0.65
    cale
    -0.62
     Hundred
    -0.60
    ingen
    -0.59
     Roof
    -0.58
    POSITIVE LOGITS
    lessly
    0.97
    less
    0.92
     seekers
    0.78
    busters
    0.77
     oriented
    0.75
    fully
    0.73
     guiActiveUn
    0.71
    LESS
    0.71
     theorist
    0.70
    ably
    0.70
    Activations Density 0.626%

    No Known Activations