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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. 7-RES-JB
    11. 21361
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    Explanations

    chemical substances and their effects

    oai_token-act-pair · gpt-3.5-turbo

    references to various social, health, and political issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĩãĤ£
    -0.55
    ãĥ£
    -0.54
    Ń·
    -0.54
    ]."
    -0.54
    Lear
    -0.53
    itton
    -0.52
    )."
    -0.51
    Clock
    -0.51
    upload
    -0.50
     Rept
    -0.49
    POSITIVE LOGITS
     insofar
    0.62
     rul
    0.62
     Firstly
    0.61
    essage
    0.61
     indirectly
    0.60
     varies
    0.59
    anship
    0.59
     involves
    0.59
     Facts
    0.59
     Basics
    0.58
    Activations Density 0.793%

    No Known Activations