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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. 5-RES-JB
    6. 3710
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to medical professionals or doctors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     actionGroup
    -0.83
     chorus
    -0.76
    LOAD
    -0.66
    CHAT
    -0.65
     potatoes
    -0.65
    RANT
    -0.65
    HUD
    -0.64
    SHIP
    -0.63
    OPA
    -0.63
     Territories
    -0.63
    POSITIVE LOGITS
    umin
    1.11
    inker
    1.04
    inks
    1.00
    inking
    0.99
    illing
    0.98
    udge
    0.98
    agnar
    0.96
    ifts
    0.96
    ink
    0.94
    ifting
    0.93
    Activations Density 0.014%

    No Known Activations