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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. 16620
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    Explanations

    references to specific periods of time, especially months and years

    oai_token-act-pair · gpt-3.5-turbo

    mentions of time-related phrases, particularly those involving months and weeks

    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¦ãĤ¹
    -0.93
    ctor
    -0.74
    bryce
    -0.74
    ãĤ´ãĥ³
    -0.72
    arah
    -0.70
    Otherwise
    -0.68
    SourceFile
    -0.67
    vec
    -0.67
    ãĥ¯ãĥ³
    -0.64
    osc
    -0.64
    POSITIVE LOGITS
     however
    1.01
     when
    0.75
     meanwhile
    0.74
     Newsweek
    0.74
     though
    0.73
     Forbes
    0.73
     researchers
    0.73
     VICE
    0.70
     amid
    0.70
     CBC
    0.69
    Activations Density 0.155%

    No Known Activations