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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. 0-RES-JB
    11. 15567
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    Explanations

    mentions of legal terms or names, likely related to a specific legal case or situation

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names or entities, particularly related to literature and individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    äºĶ
    -0.78
    develop
    -0.76
     hamstring
    -0.72
    æĪ¦
    -0.71
    NVIDIA
    -0.70
    runners
    -0.69
     stabil
    -0.68
    NFL
    -0.68
     crack
    -0.67
    organic
    -0.67
    POSITIVE LOGITS
     Lit
    3.66
     Anth
    1.34
     Ded
    1.33
     Lug
    1.30
     Loud
    1.24
     Vik
    1.20
     Liter
    1.20
     Lub
    1.19
     Tit
    1.11
     Ire
    1.08
    Activations Density 0.044%

    No Known Activations