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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. 4936
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    Explanations

    phrases related to personal experiences or actions described in a narrative context

    oai_token-act-pair · gpt-3.5-turbo

    commas in the text

    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
    ãĥ¥
    -0.66
    worldly
    -0.63
    STEM
    -0.62
    ritical
    -0.61
    âĶģ
    -0.61
    Marco
    -0.59
    CCC
    -0.59
    Different
    -0.59
    Translation
    -0.59
    ELF
    -0.58
    POSITIVE LOGITS
     joins
    1.09
     remembers
    1.07
     believes
    1.05
     wrote
    1.04
     insists
    1.03
     withdrew
    1.03
     testified
    1.02
     understands
    0.99
     denies
    0.99
     pleaded
    0.98
    Activations Density 0.175%

    No Known Activations