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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. 7-RES-JB
    11. 3505
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    INDEX
    Explanations

    terms related to financial burden or hardship

    oai_token-act-pair · gpt-3.5-turbo

    expressions of sadness and burden

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     grace
    -0.66
     interstate
    -0.64
     exit
    -0.62
     agency
    -0.61
    WER
    -0.61
     exception
    -0.60
     Omega
    -0.60
    agents
    -0.58
     agent
    -0.58
    ãĥ¯ãĥ³
    -0.58
    POSITIVE LOGITS
    ened
    1.70
    ening
    1.45
    eners
    1.26
    ener
    1.20
    ens
    1.07
    enment
    1.04
    en
    0.97
    icated
    0.95
    ety
    0.94
    nesses
    0.93
    Activations Density 0.064%

    No Known Activations