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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. 9665
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    Explanations

    organizations or entities related to responsibility or responsiveness

    oai_token-act-pair · gpt-3.5-turbo

    references to responsibility and accountability

    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
    butt
    -0.72
     Peninsula
    -0.72
    ware
    -0.69
     Nile
    -0.66
     Ocean
    -0.60
     Harrington
    -0.59
     Dahl
    -0.59
    WAYS
    -0.59
     Roman
    -0.58
     LCS
    -0.58
    POSITIVE LOGITS
    es
    1.54
    atile
    1.20
    hip
    1.17
    itives
    1.15
    esy
    1.11
    ecake
    1.11
    itivity
    1.11
    orial
    1.10
    atility
    1.07
    eg
    1.02
    Activations Density 0.043%

    No Known Activations