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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. 23408
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    Explanations

    the concept of roots

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fundamental underlying issues or sources of problems

    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
    psey
    -0.87
    vernment
    -0.84
    eers
    -0.84
    abwe
    -0.76
    urches
    -0.75
    odies
    -0.73
     disadvant
    -0.72
    merce
    -0.72
    zsche
    -0.70
    pload
    -0.70
    POSITIVE LOGITS
     root
    0.93
    root
    0.90
     rooting
    0.87
     Root
    0.83
    roots
    0.82
     cellar
    0.82
     roots
    0.82
    kit
    0.82
    beer
    0.76
    Root
    0.75
    Activations Density 0.010%

    No Known Activations