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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. 8651
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    INDEX
    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    specific names, terms, or identifiers, particularly related to people and institutions

    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
    soType
    -0.89
    309
    -0.79
     confir
    -0.79
     ASIC
    -0.74
    ENE
    -0.73
    inventoryQuantity
    -0.73
    409
    -0.72
     Contra
    -0.69
     Fairfax
    -0.68
     resil
    -0.68
    POSITIVE LOGITS
    k
    1.36
    ks
    1.33
    K
    1.31
    KS
    1.26
    KC
    1.23
    KA
    1.22
    kt
    1.21
    kan
    1.18
    KE
    1.17
    king
    1.16
    Activations Density 0.414%

    No Known Activations