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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. 10778
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    INDEX
    Explanations

    different geographic locations and concepts related to land and labor

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal or institutional decisions and outcomes

    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
     takeaway
    -0.82
    Ops
    -0.80
     timelines
    -0.80
     fueled
    -0.80
    Flash
    -0.79
     GoPro
    -0.79
     Timeline
    -0.78
     NR
    -0.78
    ographics
    -0.76
    Plex
    -0.76
    POSITIVE LOGITS
    ,—
    1.35
     thence
    1.18
     splend
    1.09
     negro
    1.08
     labou
    1.07
     consec
    1.06
     hereafter
    1.03
     hitherto
    1.01
     splendid
    1.00
     pecul
    1.00
    Activations Density 1.201%

    No Known Activations