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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. 9-RES-JB
    11. 1748
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    Explanations

    references to physical objects or locations in relation to their size or quantity

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.78
    ARCH
    -0.76
    CLASS
    -0.74
     architects
    -0.73
    è£
    -0.69
    èª
    -0.68
    anners
    -0.68
    ĻĤ
    -0.67
    verbal
    -0.67
    nom
    -0.67
    POSITIVE LOGITS
     sewage
    1.26
     boiling
    1.25
     waters
    1.23
     saline
    1.23
     reservoir
    1.22
     groundwater
    1.18
     water
    1.17
     rivers
    1.17
     reservoirs
    1.17
     liquids
    1.17
    Activations Density 0.458%

    No Known Activations