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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. 3969
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    Explanations

    words related to events or situations, particularly in relation to testimonies or hearings

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events or entities related to activism and politics

    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
    riched
    -0.50
    ifestyle
    -0.49
    etermined
    -0.49
    fff
    -0.49
    Located
    -0.49
    alties
    -0.48
    odge
    -0.48
    arius
    -0.47
    ufficient
    -0.47
     amenities
    -0.47
    POSITIVE LOGITS
    Newsletter
    0.58
     Hacker
    0.48
     Youtube
    0.47
     Brit
    0.47
     Moz
    0.46
     JFK
    0.46
     reddit
    0.45
     Hung
    0.44
     Nokia
    0.44
    NPR
    0.44
    Activations Density 1.684%

    No Known Activations