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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    the word "desire"

    oai_token-act-pair · gpt-3.5-turbo

    the concept of desire in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammy
    -0.86
     Surv
    -0.77
    iannopoulos
    -0.68
    annis
    -0.67
    sk
    -0.65
    stood
    -0.64
    uum
    -0.64
    amn
    -0.64
    ocular
    -0.62
     Dispatch
    -0.62
    POSITIVE LOGITS
    lessly
    0.90
     fulfillment
    0.88
    igslist
    0.84
     fulfilled
    0.83
    FUL
    0.83
    ful
    0.81
    reprene
    0.79
    00200000
    0.78
    fully
    0.78
    rence
    0.77
    Activations Density 0.011%

    No Known Activations