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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. 0-RES-JB
    11. 8247
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    Explanations

    phrases related to the act of copying or reproducing content, such as "copy-pasting."

    oai_token-act-pair · gpt-3.5-turbo

    words related to the act of tasting or food preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Resident
    -0.59
     guardians
    -0.58
     Ek
    -0.58
     Rand
    -0.58
     reflex
    -0.58
     nom
    -0.58
     delinquent
    -0.57
     mobility
    -0.57
    collar
    -0.57
     serpent
    -0.57
    POSITIVE LOGITS
    asting
    4.29
    asted
    4.12
    asts
    2.98
    aste
    2.20
    asters
    2.18
    aster
    2.01
    ast
    1.94
    AST
    1.90
    asty
    1.79
    ffee
    1.50
    Activations Density 0.012%

    No Known Activations