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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. 23128
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    Explanations

    phrases related to coaching or guidance

    oai_token-act-pair · gpt-3.5-turbo

    references to coaches in various contexts

    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
    isite
    -0.73
    izons
    -0.72
    Characters
    -0.70
    itious
    -0.65
     IMAGES
    -0.65
     Pradesh
    -0.65
    plets
    -0.64
     fel
    -0.62
    encing
    -0.62
     sheer
    -0.62
    POSITIVE LOGITS
    urally
    0.98
     Coach
    0.92
     coach
    0.91
     trainer
    0.85
     Trainer
    0.84
     coaches
    0.82
    builder
    0.81
     Maurice
    0.79
    Coach
    0.79
    friend
    0.77
    Activations Density 0.018%

    No Known Activations