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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 16489
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    Explanations

    solar panels

    oai_token-act-pair · gpt-3.5-turbo

    references to solar panels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ENSE
    -0.79
    EE
    -0.78
     Dee
    -0.76
    GET
    -0.75
    DIT
    -0.75
    sie
    -0.74
    ERE
    -0.73
    oslov
    -0.73
    PUT
    -0.71
     Hol
    -0.71
    POSITIVE LOGITS
     panels
    1.60
    panel
    1.09
     panel
    1.08
    illions
    0.95
     baskets
    0.94
    Panel
    0.93
     brill
    0.93
     racks
    0.91
     bars
    0.90
    hooting
    0.89
    Activations Density 0.013%

    No Known Activations