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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. 17848
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    Explanations

    phrases related to global or societal contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to different global and national contexts

    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
    eworks
    -0.82
     detectors
    -0.74
    lations
    -0.74
    ests
    -0.71
     indications
    -0.69
    iates
    -0.69
    azines
    -0.68
     illustrations
    -0.68
     parcels
    -0.67
     channels
    -0.66
    POSITIVE LOGITS
    wide
    0.95
     devoid
    0.86
     rife
    0.83
     starved
    0.82
     riddled
    0.76
     accustomed
    0.73
     bere
    0.73
     obsessed
    0.72
     plagued
    0.72
    ustomed
    0.72
    Activations Density 0.200%

    No Known Activations