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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. 0-RES-JB
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    Explanations

    the word "Kennedy" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the name "Kennedy" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     monitor
    -0.71
     seal
    -0.69
     plate
    -0.68
    iHUD
    -0.68
     Rost
    -0.66
     chest
    -0.65
     monitors
    -0.63
     occ
    -0.62
     Greenland
    -0.62
     surface
    -0.61
    POSITIVE LOGITS
    edy
    4.60
    eds
    1.43
    xy
    1.13
    eming
    1.13
    eding
    1.12
    arty
    1.06
    idy
    1.05
    edi
    1.02
    esis
    1.01
    azy
    1.01
    Activations Density 0.015%

    No Known Activations