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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. 708
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    Explanations

    phrases related to achieving or reaching specific goals or levels

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to goals and achievements

    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
     EVENTS
    -0.62
    went
    -0.61
     dissenting
    -0.57
     accompanying
    -0.57
     quarrel
    -0.56
     reason
    -0.56
     Worse
    -0.55
    gallery
    -0.54
     headquartered
    -0.54
     insults
    -0.54
    POSITIVE LOGITS
     milestones
    1.51
     milestone
    1.48
     thresholds
    1.15
     threshold
    1.15
     plateau
    1.13
     goal
    1.13
     parity
    1.11
     heights
    1.08
     goals
    1.05
     hurdle
    1.05
    Activations Density 0.379%

    No Known Activations