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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. 5560
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    Explanations

    acronyms or initialisms related to organizations or medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific organizations and acronyms related to geopolitical entities

    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
    stown
    -0.89
    wagen
    -0.79
    esville
    -0.78
    aqu
    -0.76
    stantial
    -0.75
    atur
    -0.74
    ãĥ¼ãĥ³
    -0.74
    atom
    -0.73
    ord
    -0.73
    ãĥĦ
    -0.72
    POSITIVE LOGITS
     CIS
    1.04
    ARGET
    0.97
    FP
    0.96
    IG
    0.96
    APD
    0.94
    LIN
    0.91
    OTUS
    0.90
     SAP
    0.90
    WER
    0.90
    ILS
    0.90
    Activations Density 0.020%

    No Known Activations