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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. 8-RES-JB
    11. 690
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    INDEX
    Explanations

    temperature measurements

    oai_token-act-pair · gpt-3.5-turbo

    elements related to physical sensations or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortium
    -0.65
     Franch
    -0.65
     Provincial
    -0.65
     Governments
    -0.64
    builders
    -0.63
     Authors
    -0.62
     Towns
    -0.62
     Cities
    -0.61
     Province
    -0.59
     Railway
    -0.58
    POSITIVE LOGITS
     recite
    0.69
     inhal
    0.68
    rompt
    0.67
     clitor
    0.65
     vagina
    0.65
     shampoo
    0.64
     chewing
    0.63
    "—
    0.62
     odor
    0.62
     facial
    0.61
    Activations Density 1.528%

    No Known Activations