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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. 8-RES-JB
    11. 5015
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to time indicators or recent activity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    mbuds
    -0.67
    cil
    -0.64
    mble
    -0.64
    adle
    -0.62
    holes
    -0.62
    entials
    -0.61
    ordes
    -0.61
    apore
    -0.60
    okers
    -0.59
    urious
    -0.59
    POSITIVE LOGITS
     ditch
    0.89
     Gleaming
    0.87
     gasp
    0.84
     week
    0.82
     rites
    0.81
     bumped
    0.81
     night
    0.80
     updated
    0.80
    fm
    0.79
     Updated
    0.79
    Activations Density 0.069%

    No Known Activations