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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. 24270
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    INDEX
    Explanations

    phrases related to earning achievements or recognition

    oai_token-act-pair · gpt-3.5-turbo

    mentions of achievements or accolades

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     processes
    -0.77
     valves
    -0.68
    eki
    -0.67
    iaries
    -0.65
    opus
    -0.64
    strate
    -0.64
    uploads
    -0.63
    vable
    -0.62
    gae
    -0.62
    onge
    -0.60
    POSITIVE LOGITS
     nickname
    1.13
     foothold
    1.09
     coveted
    1.08
     notoriety
    1.08
     berth
    1.07
     moniker
    1.05
     renown
    1.02
     reputation
    0.99
     accol
    0.83
     nick
    0.82
    Activations Density 0.196%

    No Known Activations