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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. 10-RES-JB
    11. 7305
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    Explanations

    locations or addresses

    oai_token-act-pair · gpt-3.5-turbo

    the presence of numeric values and measurements related to quantities and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    accompan
    -0.90
    WARNING
    -0.86
    INTER
    -0.79
    WHAT
    -0.76
    information
    -0.76
    noticed
    -0.75
    iscal
    -0.75
    SIZE
    -0.74
    CLASS
    -0.74
    consumer
    -0.74
    POSITIVE LOGITS
     Mal
    1.23
     Lav
    1.17
     Val
    1.17
     Ves
    1.16
     Hus
    1.16
     Bel
    1.15
     Tul
    1.14
     Bere
    1.14
     Bal
    1.14
     Pom
    1.14
    Activations Density 0.405%

    No Known Activations