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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. 6-RES-JB
    11. 3001
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atorium
    -0.64
    owder
    -0.64
    ILE
    -0.62
    Es
    -0.61
    Reply
    -0.61
    osi
    -0.60
    Brother
    -0.60
    Synopsis
    -0.59
    Hur
    -0.59
    Tenn
    -0.59
    POSITIVE LOGITS
    mith
    1.23
    ynthesis
    1.15
    hip
    1.12
    uggest
    1.10
    paces
    1.08
    pread
    1.07
    peed
    1.07
    pace
    1.06
    chool
    1.04
    ystem
    1.00
    Activations Density 0.539%

    No Known Activations