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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. 2-RES-JB
    6. 3592
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    Explanations

    references to a specific organization or company, specifically "Emb"

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of "Emb." indicating references to embedded media or content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    å§«
    -0.86
    ãĥĥãĥĪ
    -0.86
    wagen
    -0.79
    ggle
    -0.78
    creen
    -0.69
    pmwiki
    -0.67
    ball
    -0.67
    culosis
    -0.67
     è£ı
    -0.67
    ãĥīãĥ©
    -0.67
    POSITIVE LOGITS
     Emb
    1.19
    arrass
    1.12
    assies
    1.10
    edded
    1.07
    emb
    1.06
    Emb
    0.93
    argo
    0.92
    odied
    0.90
    edd
    0.85
    attled
    0.83
    Activations Density 0.012%

    No Known Activations