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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. 0-RES-JB
    11. 8063
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    Explanations

    adjectives related to extreme intensity or severity, particularly with negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    intensely negative descriptors related to violence and suffering

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tea
    -0.72
    elle
    -0.71
    ake
    -0.70
    inventory
    -0.69
    onge
    -0.69
    Footnote
    -0.69
    orage
    -0.68
     endors
    -0.67
     certificates
    -0.66
    iture
    -0.66
    POSITIVE LOGITS
     brutal
    3.11
     brutally
    2.30
     savage
    1.99
     ruthless
    1.98
     horrific
    1.98
     gruesome
    1.97
     merciless
    1.94
     vicious
    1.93
     brutality
    1.89
     barbaric
    1.87
    Activations Density 0.035%

    No Known Activations