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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. 14528
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    Explanations

    references to liquid substances

    oai_token-act-pair · gpt-3.5-turbo

    references to liquid substances or materials

    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
    BOOK
    -0.74
    shire
    -0.73
    reon
    -0.72
    saf
    -0.71
    CVE
    -0.68
    roads
    -0.68
    oÄŁ
    -0.66
    -+-+-+-+
    -0.65
    ^^^^
    -0.65
    alon
    -0.63
    POSITIVE LOGITS
     nitrogen
    1.14
    ation
    0.89
    itate
    0.87
     helium
    0.86
     cooled
    0.84
    ysis
    0.82
    ity
    0.81
    ization
    0.81
    ators
    0.80
     cooling
    0.80
    Activations Density 0.045%

    No Known Activations