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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. 6-RES-JB
    11. 11670
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    Explanations

    references to financial terms and market conditions

    oai_token-act-pair · gpt-3.5-turbo

    the word "the"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cale
    -0.66
    /"
    -0.65
     thereby
    -0.62
    bg
    -0.62
    python
    -0.61
    Alert
    -0.61
    Param
    -0.60
    CHAPTER
    -0.59
    iffe
    -0.59
    />
    -0.58
    POSITIVE LOGITS
     entire
    1.12
     hardest
    1.10
     easiest
    1.10
     slightest
    1.10
     greatest
    1.10
     simplest
    1.08
     biggest
    1.06
     smallest
    1.06
     shortest
    1.05
     strongest
    1.05
    Activations Density 0.373%

    No Known Activations