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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. 3-RES-JB
    11. 15816
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    Explanations

    words related to occurrences happening at the same time or things that can happen simultaneously

    oai_token-act-pair · gpt-3.5-turbo

    references to simultaneous and concurrent activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hod
    -0.93
    onom
    -0.83
    bern
    -0.81
    gged
    -0.79
    ayn
    -0.76
    ben
    -0.74
    chens
    -0.72
    olit
    -0.72
    gy
    -0.70
    onomic
    -0.70
    POSITIVE LOGITS
     concurrent
    0.98
     simultaneous
    0.85
     simultane
    0.85
    ipation
    0.80
     concurrently
    0.77
     newsp
    0.77
     occurrence
    0.74
    ively
    0.72
     inference
    0.72
    åŃIJ
    0.72
    Activations Density 0.009%

    No Known Activations