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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 530
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    Explanations

    words related to connections or associations between different concepts or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to connections or relationships between concepts or entities

    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
    otos
    -0.74
     Penguins
    -0.66
     Nights
    -0.65
    sburg
    -0.64
    oplan
    -0.64
     Sabres
    -0.61
    ODUCT
    -0.60
    ZI
    -0.60
    ccording
    -0.60
    thur
    -0.60
    POSITIVE LOGITS
     link
    0.98
    link
    0.97
    chain
    0.93
     links
    0.93
     linking
    0.91
    edin
    0.91
    later
    0.89
     connecting
    0.87
    linked
    0.84
    links
    0.84
    Activations Density 0.032%

    No Known Activations