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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. 19000
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    Explanations

    phrases related to technological advancements

    oai_token-act-pair · gpt-3.5-turbo

    references to technological concepts and advancements

    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
    etts
    -0.92
    words
    -0.80
    edin
    -0.75
    ership
    -0.75
    rooms
    -0.74
    heit
    -0.72
    iva
    -0.72
    quote
    -0.72
    lain
    -0.71
    eva
    -0.69
    POSITIVE LOGITS
     advancements
    1.12
     innovations
    1.05
     innovation
    1.05
     advances
    1.04
     sophistication
    0.94
     civilisation
    0.93
     gadget
    0.92
     advancement
    0.92
     gadgets
    0.91
     revolutions
    0.91
    Activations Density 0.032%

    No Known Activations