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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    proper nouns related to canals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "canal" and related waterways

    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
    ccording
    -0.77
    ARS
    -0.73
    imm
    -0.70
    ARK
    -0.69
    ³³³³³³³³³³³³³³³³
    -0.67
    HCR
    -0.67
    TOP
    -0.65
     Fundamental
    -0.65
    ---------
    -0.64
    AAA
    -0.64
    POSITIVE LOGITS
     canal
    1.41
     Canal
    1.29
     reefs
    0.91
    akra
    0.85
    ieri
    0.82
    obar
    0.82
    ufact
    0.79
    wright
    0.78
     Dock
    0.74
     tunnel
    0.72
    Activations Density 0.007%

    No Known Activations