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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. 8119
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    INDEX
    Explanations

    words related to significant achievements or victories

    oai_token-act-pair · gpt-3.5-turbo

    references to championships 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
     beh
    -0.81
    rogen
    -0.80
    omorphic
    -0.75
    ase
    -0.74
    alez
    -0.73
    ometric
    -0.72
    ogen
    -0.72
    ths
    -0.70
    uld
    -0.70
    alle
    -0.69
    POSITIVE LOGITS
     championship
    0.95
     caliber
    0.82
     Finals
    0.79
     championships
    0.77
    mund
    0.76
     trophy
    0.75
     contender
    0.74
     certs
    0.72
     MVP
    0.71
     rematch
    0.69
    Activations Density 0.007%

    No Known Activations