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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. 3-RES-JB
    11. 24265
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    Explanations

    phrases related to political or social issues

    oai_token-act-pair · gpt-3.5-turbo

    symbols representing concepts related to interventions and changes in society

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scatter
    -0.74
    enta
    -0.70
     sled
    -0.68
    isode
    -0.66
    lda
    -0.65
     dust
    -0.64
    ierre
    -0.64
     corrections
    -0.63
    vt
    -0.63
     scattering
    -0.61
    POSITIVE LOGITS
    catentry
    1.00
    ¬
    0.94
    âĹ¼
    0.93
    £
    0.90
    ¹
    0.89
    âĢł
    0.87
    ¢
    0.86
    ISIS
    0.84
    ¯
    0.81
    į
    0.79
    Activations Density 0.697%

    No Known Activations