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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 18967
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    Explanations

    phrases mentioning specific names or titles

    oai_token-act-pair · gpt-3.5-turbo

    structures and forms of news reporting or announcements

    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
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    Negative Logits
     Almighty
    -0.78
    egg
    -0.69
    chains
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     scrut
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     Introduction
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     Agent
    -0.56
     Axis
    -0.56
    haus
    -0.56
    Link
    -0.56
     Effect
    -0.55
    POSITIVE LOGITS
    etheless
    0.76
    eworld
    0.72
    ngth
    0.69
    imi
    0.67
     laun
    0.64
    ²
    0.64
    Ranked
    0.64
     widened
    0.64
    >,
    0.63
    ounty
    0.63
    Activations Density 0.852%

    No Known Activations