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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. 4848
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    Explanations

    phrases related to natural elements and processes

    oai_token-act-pair · gpt-3.5-turbo

    words related to natural and physical phenomena

    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
    ovember
    -0.79
    ?????-
    -0.70
    outube
    -0.70
    utterstock
    -0.68
    addon
    -0.63
    ;;;;
    -0.63
    utics
    -0.62
    ruary
    -0.61
    erick
    -0.61
    ornings
    -0.61
    POSITIVE LOGITS
    osphere
    0.85
    iest
    0.83
     outweigh
    0.81
    hest
    0.80
     portion
    0.79
     disappears
    0.79
    liest
    0.76
     element
    0.75
     ceases
    0.75
     guy
    0.74
    Activations Density 0.596%

    No Known Activations