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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. 3-RES-JB
    6. 6751
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    racuse
    -0.80
     disgu
    -0.71
     fool
    -0.71
     idol
    -0.70
     imperson
    -0.70
    atche
    -0.69
     frogs
    -0.66
     lull
    -0.65
     chop
    -0.65
     advert
    -0.64
    POSITIVE LOGITS
    AFP
    1.08
    Getty
    1.06
    EVA
    1.04
    READ
    0.89
    Library
    0.87
    WAR
    0.86
    WARN
    0.82
    BUS
    0.82
    DATA
    0.81
    European
    0.80
    Activations Density 0.051%

    No Known Activations