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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. 9-RES-JB
    11. 20069
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    Explanations

    phrases related to tasks or responsibilities that require effort or skill

    oai_token-act-pair · gpt-3.5-turbo

    references to significant life challenges or responsibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.96
    ells
    -0.67
     warehouses
    -0.66
     Moody
    -0.65
    luaj
    -0.65
    alks
    -0.64
     Laboratories
    -0.63
     graphs
    -0.63
    onds
    -0.62
    otten
    -0.62
    POSITIVE LOGITS
     chore
    1.09
     rite
    1.09
     prerequisite
    1.01
     shortcut
    0.96
     hassle
    0.94
     requirement
    0.91
     ceremony
    0.91
     breeze
    0.90
     feat
    0.89
     ritual
    0.87
    Activations Density 0.351%

    No Known Activations