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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. 2-RES-JB
    11. 20680
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    Explanations

    references to various populations in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to populations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NRS
    -0.86
    nes
    -0.81
    docs
    -0.79
    nit
    -0.78
    Lear
    -0.78
    BN
    -0.74
    NES
    -0.74
    cer
    -0.74
    NESS
    -0.74
    FIN
    -0.73
    POSITIVE LOGITS
     populations
    0.92
     inhab
    0.77
     genomes
    0.74
    wana
    0.74
     markets
    0.73
     distributions
    0.71
     residing
    0.71
     composing
    0.70
     migrating
    0.70
     worldwide
    0.69
    Activations Density 0.013%

    No Known Activations