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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. 4-RES-JB
    11. 19375
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    Explanations

    instances where a particular action or condition should be done or met before proceeding further

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the necessity of prior actions or considerations

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

    No Comments

    Negative Logits
    aren
    -0.74
    hack
    -0.72
    wire
    -0.67
    aez
    -0.67
    Writer
    -0.67
    OTOS
    -0.66
    oret
    -0.64
    DC
    -0.64
    amount
    -0.64
    Goal
    -0.63
    POSITIVE LOGITS
     sunset
    0.75
    hand
    0.73
     committing
    0.71
     sunrise
    0.70
     noon
    0.70
     midnight
    0.69
     realizing
    0.68
     embark
    0.67
     settling
    0.65
     serving
    0.65
    Activations Density 0.061%

    No Known Activations