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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. 9-RES-JB
    11. 15890
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    Explanations

    phrases related to a specific location or entity named "Tempe"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of temperature and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Scotia
    -0.66
    ãģį
    -0.65
    atform
    -0.65
     matter
    -0.64
     ASC
    -0.62
     Liberals
    -0.62
     Newfoundland
    -0.60
     Tav
    -0.59
     rooting
    -0.59
    ION
    -0.59
    POSITIVE LOGITS
    porary
    1.74
    poral
    1.64
    pered
    1.48
    plates
    1.43
    pering
    1.38
    ples
    1.36
    perate
    1.33
    erity
    1.28
    ple
    1.23
    pora
    1.22
    Activations Density 0.040%

    No Known Activations