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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. 6-RES-JB
    11. 23844
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    Explanations

    references to statistical values within a range

    oai_token-act-pair · gpt-3.5-turbo

    references to demographic groups and their behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reincarn
    -0.61
     equival
    -0.60
    livion
    -0.58
     approx
    -0.58
     overlay
    -0.57
     sunset
    -0.57
     unreal
    -0.54
     Carnage
    -0.54
     excess
    -0.54
     intox
    -0.53
    POSITIVE LOGITS
    actionDate
    0.74
    heastern
    0.68
     interviewed
    0.67
    pires
    0.67
    pired
    0.62
    esters
    0.55
     Publishers
    0.55
     retirees
    0.54
    nsic
    0.54
     policymakers
    0.54
    Activations Density 0.917%

    No Known Activations