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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. 9181
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    INDEX
    Explanations

    negative connotations or events

    oai_token-act-pair · gpt-3.5-turbo

    references to negative or harmful situations

    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
    ĸļ
    -0.85
    olate
    -0.79
    ensional
    -0.79
    ittees
    -0.78
    conservancy
    -0.77
    rylic
    -0.75
    gow
    -0.74
    racuse
    -0.74
    ellation
    -0.74
    arov
    -0.72
    POSITIVE LOGITS
    dest
    0.90
    gered
    0.84
    dies
    0.83
     Samar
    0.83
     karma
    0.81
     havoc
    0.80
     luck
    0.78
     vib
    0.76
     deeds
    0.73
    ger
    0.73
    Activations Density 0.017%

    No Known Activations