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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. 10672
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    INDEX
    Explanations

    proper nouns like names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and measurements related to events or issues

    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
     persuasion
    -0.81
     purs
    -0.73
     dra
    -0.68
     incent
    -0.68
     ability
    -0.67
     renegoti
    -0.66
     circuits
    -0.66
     smoot
    -0.64
    iga
    -0.64
     afterlife
    -0.62
    POSITIVE LOGITS
    Interested
    1.21
    Writing
    1.16
    According
    1.16
    Specifically
    1.11
    Speaking
    1.08
    Sources
    1.07
    RELATED
    1.06
    While
    1.05
    Known
    1.03
    The
    1.02
    Activations Density 0.433%

    No Known Activations