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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. 16956
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    INDEX
    Explanations

    mentions of natural elements or components

    oai_token-act-pair · gpt-3.5-turbo

    references to elemental components or factors in various contexts

    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
    sburgh
    -0.95
    claimed
    -0.75
    Stra
    -0.74
    rontal
    -0.74
    cies
    -0.70
    vertising
    -0.68
    ctors
    -0.68
    lishing
    -0.67
    Pitt
    -0.66
    Delivery
    -0.66
    POSITIVE LOGITS
     elements
    1.28
     element
    1.20
     abund
    0.87
    ashtra
    0.78
     elemental
    0.77
     Element
    0.75
     Elements
    0.75
    osaurs
    0.73
     "$:/
    0.72
     guiActiveUn
    0.72
    Activations Density 0.016%

    No Known Activations