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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. 9-RES-JB
    11. 17673
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    Explanations

    phrases related to personal experiences and actions

    oai_token-act-pair · gpt-3.5-turbo

    personal anecdotes and experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utterstock
    -0.89
     conspic
    -0.75
     distinguishing
    -0.73
     caution
    -0.72
     asserts
    -0.71
     pertinent
    -0.71
     further
    -0.71
     warns
    -0.70
     observers
    -0.70
     eluc
    -0.69
    POSITIVE LOGITS
     Didn
    1.17
     Came
    1.07
     Went
    1.07
     Everybody
    1.06
     Afterwards
    1.00
    went
    0.99
     Somebody
    0.98
     I
    0.97
     Then
    0.96
    didn
    0.96
    Activations Density 0.354%

    No Known Activations