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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. 0-RES-JB
    11. 10234
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    Explanations

    references to online activities or content

    oai_token-act-pair · gpt-3.5-turbo

    references to online activities or environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Yards
    -0.78
    Args
    -0.68
     disg
    -0.68
    shall
    -0.66
    Marsh
    -0.64
     Dise
    -0.64
     CLR
    -0.64
    Height
    -0.62
     Dull
    -0.62
    peat
    -0.62
    POSITIVE LOGITS
     online
    3.68
     Online
    2.66
    online
    2.49
    Online
    2.32
     offline
    2.27
     internet
    1.95
     Internet
    1.71
     websites
    1.53
    internet
    1.46
     digitally
    1.46
    Activations Density 0.023%

    No Known Activations