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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 339
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    INDEX
    Explanations

    words related to medical conditions, particularly those ending in "-cul"

    oai_token-act-pair · gpt-3.5-turbo

    words related to calculations and mathematical concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bye
    -0.69
     snaps
    -0.68
     deal
    -0.68
     Benny
    -0.66
     iso
    -0.65
     TD
    -0.64
     hots
    -0.63
     leash
    -0.63
     Sunshine
    -0.62
     swift
    -0.61
    POSITIVE LOGITS
    cul
    4.56
    culated
    2.92
    culus
    2.82
    culation
    2.26
    cular
    1.91
    cu
    1.40
    cule
    1.38
    cules
    1.35
    cus
    1.32
    cium
    1.21
    Activations Density 0.016%

    No Known Activations