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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. 4910
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    Explanations

    phrases related to the flow of substances or entities in a system

    oai_token-act-pair · gpt-3.5-turbo

    references to gas emissions and their effects on the environment

    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
    soDeliveryDate
    -0.77
    DN
    -0.68
     motto
    -0.66
    review
    -0.66
     fate
    -0.63
     Lessons
    -0.62
    anova
    -0.61
     inspiration
    -0.60
    OME
    -0.59
    Ü
    -0.59
    POSITIVE LOGITS
     combustion
    1.03
     circulation
    0.95
     electroly
    0.91
     pores
    0.91
    absor
    0.87
     pipes
    0.84
     oxidation
    0.84
     absor
    0.83
     pellets
    0.83
    plets
    0.83
    Activations Density 0.441%

    No Known Activations