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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. 6585
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    Explanations

    mentions of startup companies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of startups and related concepts

    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
    othy
    -0.85
    osate
    -0.76
     largeDownload
    -0.68
    ordial
    -0.64
     reconc
    -0.63
     Maw
    -0.61
    lda
    -0.61
     nutrit
    -0.61
    é¾įå
    -0.60
    ordon
    -0.60
    POSITIVE LOGITS
     startup
    1.07
     startups
    1.01
     Startup
    0.93
     entrepreneur
    0.88
     incub
    0.85
     accelerator
    0.81
    reprene
    0.78
     entreprene
    0.78
     entrepreneurs
    0.78
    retty
    0.72
    Activations Density 0.020%

    No Known Activations