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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
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    Explanations

    the name "Tan" and related variations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Tan" and related variations

    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
    ãĤ¡
    -0.82
    Ö¼
    -0.75
    OUS
    -0.69
    ģĸ
    -0.69
    PsyNetMessage
    -0.66
     Madison
    -0.65
    çīĪ
    -0.65
     GDDR
    -0.64
    raltar
    -0.64
    vernment
    -0.64
    POSITIVE LOGITS
    nery
    1.35
    ning
    1.21
    geon
    1.10
    zan
    1.02
    uki
    0.96
    emark
    0.95
    jug
    0.93
    quer
    0.90
    agra
    0.88
    ner
    0.88
    Activations Density 0.016%

    No Known Activations