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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. 12-RES-JB
    11. 4886
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    proper nouns and their associated actions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Manit
    -0.69
     feder
    -0.67
     OM
    -0.65
     population
    -0.63
     Innocent
    -0.63
     Fault
    -0.63
     outwe
    -0.60
     lowest
    -0.59
     morally
    -0.59
     AU
    -0.59
    POSITIVE LOGITS
    rench
    1.34
    ipes
    1.32
    ashes
    1.32
    reat
    1.28
    renches
    1.25
    atches
    1.25
    igs
    1.23
    ipers
    1.23
    reath
    1.22
    rist
    1.21
    Activations Density 0.023%

    No Known Activations