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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. 3311
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    INDEX
    Explanations

    phrases related to manufacturing plants and assembly processes

    oai_token-act-pair · gpt-3.5-turbo

    references to legislative assemblies or official meetings

    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
    ched
    -0.71
    imaru
    -0.68
    verson
    -0.62
     hikers
    -0.59
    omorphic
    -0.57
    ties
    -0.56
     hiking
    -0.56
    808
    -0.55
     backpack
    -0.55
     Emerald
    -0.55
    POSITIVE LOGITS
    member
    0.94
    woman
    0.91
    mate
    0.91
    rats
    0.84
     Speaker
    0.82
    atures
    0.82
    members
    0.80
    mates
    0.80
    Assembly
    0.79
    man
    0.79
    Activations Density 0.060%

    No Known Activations