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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. 13114
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    INDEX
    Explanations

    mentions of technology companies and products

    oai_token-act-pair · gpt-3.5-turbo

    elements related to software, technology, and entertainment

    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
     characteristic
    -0.71
     doubling
    -0.68
     subtract
    -0.66
     hem
    -0.65
    jriwal
    -0.64
     cour
    -0.63
     doubtful
    -0.63
     marginal
    -0.63
     foul
    -0.63
     plac
    -0.62
    POSITIVE LOGITS
    Sys
    1.14
    Corp
    1.05
    idae
    1.01
    Zero
    0.96
    Tech
    0.94
    Mine
    0.93
    Ops
    0.91
    Soft
    0.91
    Serv
    0.91
    atron
    0.90
    Activations Density 0.262%

    No Known Activations