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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. 7-RES-JB
    11. 14695
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    INDEX
    Explanations

    descriptions of physical states related to liquids

    oai_token-act-pair · gpt-3.5-turbo

    references to liquid substances

    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
    Not in Any Lists

    No Comments

    Negative Logits
    shire
    -0.75
    BOOK
    -0.73
    oÄŁ
    -0.68
    reon
    -0.67
    ^^^^
    -0.66
    roads
    -0.65
    saf
    -0.65
    OA
    -0.64
    -+-+-+-+
    -0.64
    CVE
    -0.64
    POSITIVE LOGITS
     nitrogen
    1.14
    itate
    0.92
     helium
    0.84
    ation
    0.83
    ocaust
    0.80
    ization
    0.80
     cooled
    0.80
     hydrogen
    0.80
    izable
    0.79
     cooling
    0.79
    Activations Density 0.033%

    No Known Activations