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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. 11-RES-JB
    11. 24130
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    Explanations

    personal stories or anecdotes

    oai_token-act-pair · gpt-3.5-turbo

    punctuated statements or reflections that express emotional experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¥ŀ
    -1.01
     eleph
    -0.99
     prosec
    -0.97
     confir
    -0.85
     popul
    -0.82
     warr
    -0.82
     citiz
    -0.80
     advoc
    -0.80
     proport
    -0.79
     rall
    -0.75
    POSITIVE LOGITS
    My
    2.13
    I
    2.01
    Anyway
    1.63
    MY
    1.63
    Growing
    1.58
    Being
    1.55
    Honestly
    1.54
    Years
    1.52
    Before
    1.48
    Whenever
    1.48
    Activations Density 0.347%

    No Known Activations