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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. 7-RES-JB
    11. 4065
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    Explanations

    actions involving physical contact and conflict

    oai_token-act-pair · gpt-3.5-turbo

    connections and relationships between actions or events

    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
    ufact
    -0.82
     Tsukuyomi
    -0.79
    etus
    -0.77
    Corp
    -0.74
    SEA
    -0.74
    ESE
    -0.73
    ADA
    -0.73
    gdala
    -0.72
     Consumers
    -0.72
     Guarant
    -0.72
    POSITIVE LOGITS
     paddle
    1.01
     mortar
    0.88
     feather
    0.85
     chore
    0.85
     kay
    0.85
     stroke
    0.83
     whisk
    0.83
     dart
    0.83
     percussion
    0.83
     sn
    0.82
    Activations Density 0.367%

    No Known Activations