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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. 20056
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    Explanations

    references to specific types of objects or events, such as fireworks and bicycles

    oai_token-act-pair · gpt-3.5-turbo

    recurring themes of fireworks and bicycles

    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
    esty
    -0.97
    sheets
    -0.93
    edo
    -0.90
    ebus
    -0.90
    arios
    -0.89
    erd
    -0.86
    gage
    -0.86
    aways
    -0.83
    eness
    -0.81
    eus
    -0.81
    POSITIVE LOGITS
     exhib
    0.70
     FORM
    0.65
     Ivory
    0.62
     displays
    0.62
     Yor
    0.62
    ETHOD
    0.62
     exhibiting
    0.61
     "$:/
    0.61
     Sta
    0.61
    >>>>>>>>
    0.59
    Activations Density 0.108%

    No Known Activations