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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. 9-RES-JB
    11. 17491
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    Explanations

    phrases related to removal or reduction of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the act of removing or taking something away

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    å
    -0.66
    rouse
    -0.65
    cients
    -0.63
     Anthrop
    -0.63
    iland
    -0.62
     Divinity
    -0.62
    OPLE
    -0.62
     Trance
    -0.61
    aternity
    -0.60
    IAS
    -0.60
    POSITIVE LOGITS
     cart
    0.73
     notice
    0.68
     toll
    0.67
    otom
    0.66
    handed
    0.66
     slack
    0.65
    credit
    0.60
     liberty
    0.59
     responsibility
    0.59
     wraps
    0.59
    Activations Density 0.049%

    No Known Activations