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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. 13093
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    Explanations

    phrases related to different types of projects or concepts

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and conjunctions used in complex sentence structures

    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
    ernels
    -0.87
    lees
    -0.79
    pees
    -0.79
    ities
    -0.77
     channels
    -0.74
     lines
    -0.73
    ways
    -0.73
    doms
    -0.73
    riages
    -0.70
    IDs
    -0.69
    POSITIVE LOGITS
    ifier
    0.87
     consisting
    0.85
    ressor
    0.81
     comprised
    0.70
    albeit
    0.68
    starter
    0.65
    ogram
    0.65
     standpoint
    0.65
    brainer
    0.64
    ccording
    0.64
    Activations Density 1.827%

    No Known Activations