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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. 10-RES-JB
    11. 12163
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    Explanations

    phrases related to consequences or interconnected events

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to cycles and effects that amplify or worsen situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ateurs
    -0.83
    paio
    -0.68
    ishable
    -0.67
    alty
    -0.67
    odore
    -0.66
    yrights
    -0.65
    OTS
    -0.65
    itives
    -0.65
    inately
    -0.64
    icts
    -0.64
    POSITIVE LOGITS
     effect
    1.29
     spiral
    1.09
     cascade
    1.09
     casc
    1.05
     snowball
    0.98
     ripple
    0.94
     effects
    0.90
     vortex
    0.87
    effect
    0.87
     Effect
    0.86
    Activations Density 0.185%

    No Known Activations