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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. 17975
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    Explanations

    phrases inviting participation or collaboration

    oai_token-act-pair · gpt-3.5-turbo

    phrases inviting participation and engagement in activities or discussions

    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
    effic
    -0.70
     proportions
    -0.67
    ukong
    -0.66
    material
    -0.65
    tips
    -0.64
     Pengu
    -0.64
    gradient
    -0.60
     nerv
    -0.59
    ascript
    -0.59
     Adin
    -0.59
    POSITIVE LOGITS
     fray
    1.42
     bandwagon
    0.99
     chorus
    0.96
     ranks
    0.87
    rocal
    0.76
     discussion
    0.74
     discussions
    0.72
    phabet
    0.72
    CF
    0.71
     exodus
    0.70
    Activations Density 0.178%

    No Known Activations