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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. 4-RES-JB
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    Explanations

    mentions of portable electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    references to portable items and devices

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

    No Comments

    Negative Logits
    owitz
    -0.89
    âķIJâķIJ
    -0.84
    xual
    -0.81
    warts
    -0.74
    rix
    -0.73
    abad
    -0.72
    lov
    -0.71
    ews
    -0.70
    opoulos
    -0.70
    rider
    -0.70
    POSITIVE LOGITS
     portable
    0.96
     toilets
    0.86
     Portable
    0.80
    atable
    0.80
     handheld
    0.78
    ity
    0.75
     sized
    0.73
    ensable
    0.72
     computing
    0.70
    devices
    0.70
    Activations Density 0.017%

    No Known Activations