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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. 11-RES-JB
    11. 5901
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    Explanations

    words related to education and learning

    oai_token-act-pair · gpt-3.5-turbo

    compound words related to a specific type of food or drink

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Boxing
    -0.92
     Crane
    -0.87
     Chavez
    -0.86
    Mex
    -0.83
     Guerrero
    -0.83
    MAC
    -0.83
    ARC
    -0.82
     Phillies
    -0.81
     Mayweather
    -0.81
     Cavaliers
    -0.76
    POSITIVE LOGITS
    å
    1.40
    ä
    1.25
    ikk
    1.16
     til
    1.15
     kan
    1.13
     sv
    1.11
    liga
    1.10
    riks
    1.09
     som
    1.07
     om
    1.05
    Activations Density 0.117%

    No Known Activations