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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 2369
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically periods

    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
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    No Comments

    Negative Logits
    ogen
    -0.71
    ETF
    -0.68
    disk
    -0.66
    stal
    -0.65
    INAL
    -0.65
    IME
    -0.65
    orical
    -0.63
    itia
    -0.63
    omed
    -0.63
    imus
    -0.61
    POSITIVE LOGITS
    uits
    0.76
    taboola
    0.67
    DAQ
    0.66
    nesday
    0.65
    imentary
    0.61
    adena
    0.60
     Calais
    0.60
    ahoo
    0.60
    nels
    0.59
    lication
    0.59
    Activations Density 0.035%

    No Known Activations