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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. 3932
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    Explanations

    historical or geographical terms and names

    oai_token-act-pair · gpt-3.5-turbo

    information about leadership and organizational structures

    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
    ettel
    -0.63
    answered
    -0.61
    rompt
    -0.59
    itus
    -0.59
    });
    -0.59
    sym
    -0.58
    framework
    -0.58
     Rosenstein
    -0.58
    ede
    -0.57
    ?",
    -0.57
    POSITIVE LOGITS
     mainly
    0.80
     extensively
    0.76
     numerous
    0.69
     primarily
    0.69
     chiefly
    0.64
     approximately
    0.63
     mostly
    0.62
     principally
    0.62
     toget
    0.62
     cryst
    0.61
    Activations Density 0.855%

    No Known Activations