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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. 10-RES-JB
    11. 10409
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    Explanations

    examples where someone has done an exceptional or commendable job

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a positive evaluation of performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ater
    -0.64
    Tang
    -0.63
    urrencies
    -0.62
    Flight
    -0.61
    raltar
    -0.61
    UGE
    -0.60
    auri
    -0.58
    lasses
    -0.58
    vant
    -0.57
    fty
    -0.57
    POSITIVE LOGITS
     educating
    1.12
     portraying
    1.08
     protecting
    1.02
     capturing
    1.01
     integrating
    0.99
     optimizing
    0.99
     balancing
    0.98
     combating
    0.97
     minimizing
    0.96
     documenting
    0.96
    Activations Density 0.074%

    No Known Activations