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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. 11509
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    Explanations

    phrases related to future events

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to prediction and understanding complex systems

    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
    luaj
    -0.90
    ©¶æ¥µ
    -0.84
     Publishers
    -0.77
    odore
    -0.75
    starter
    -0.74
    rin
    -0.73
    ittee
    -0.73
    ardon
    -0.72
    inth
    -0.71
    efer
    -0.71
    POSITIVE LOGITS
     phenomena
    1.53
     variability
    1.47
     fluctuations
    1.38
     traject
    1.36
     trends
    1.34
     patterns
    1.34
     behaviour
    1.29
     behaviours
    1.28
     dynamics
    1.27
     outcomes
    1.26
    Activations Density 0.381%

    No Known Activations