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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. 1517
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    Explanations

    terms related to future potential or likelihood of success

    oai_token-act-pair · gpt-3.5-turbo

    references to future potential or possibilities

    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
    nee
    -0.78
    arm
    -0.71
    ge
    -0.68
    isle
    -0.68
    ipper
    -0.68
    othing
    -0.68
    ippy
    -0.67
    mt
    -0.67
    amed
    -0.66
    arp
    -0.66
    POSITIVE LOGITS
     prospects
    1.49
     prospect
    0.95
     promot
    0.81
     Prospect
    0.78
     horizon
    0.78
     futures
    0.78
    paren
    0.78
     talents
    0.74
     fortun
    0.74
     profiles
    0.74
    Activations Density 0.006%

    No Known Activations