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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. 7-RES-JB
    11. 5322
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    Explanations

    phrases related to observations or experiences

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating repeated observations or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    externalActionCode
    -0.79
    ÃŃa
    -0.77
    vernment
    -0.75
    vice
    -0.71
    ella
    -0.70
    iru
    -0.69
     contrace
    -0.66
    camp
    -0.65
    idity
    -0.64
    trap
    -0.63
    POSITIVE LOGITS
     firsthand
    0.91
     plenty
    0.87
     glimps
    0.83
    ewitness
    0.80
    dust
    0.80
     alot
    0.72
    finder
    0.70
     countless
    0.69
     parallels
    0.66
    dogs
    0.66
    Activations Density 0.049%

    No Known Activations