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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. 3-RES-JB
    11. 23121
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    Explanations

    terms related to harvesting activities

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "harvest" or related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.88
    ĪĴ
    -0.85
    ¥µ
    -0.79
    £ı
    -0.76
    Ĥª
    -0.75
    --------------------------------------------------------
    -0.73
    ¿½
    -0.70
     elbows
    -0.69
     juggling
    -0.67
    ħĭ
    -0.66
    POSITIVE LOGITS
    olution
    1.20
    apor
    1.20
    irus
    1.12
    intage
    1.10
    ascular
    1.07
    arsity
    1.03
    rons
    1.03
    oodoo
    1.03
    ault
    1.03
    iii
    1.02
    Activations Density 0.033%

    No Known Activations