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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. 9-RES-JB
    11. 2615
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    Explanations

    references to specific locations and events dealing with societal issues

    oai_token-act-pair · gpt-3.5-turbo

    references to social issues related to harassment and crime

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Vegas
    -0.73
    insk
    -0.71
    lando
    -0.70
    ********************************
    -0.70
    Colorado
    -0.69
     Sirius
    -0.68
    Buzz
    -0.65
    âĺħâĺħ
    -0.65
    Scotland
    -0.65
    antics
    -0.64
    POSITIVE LOGITS
     compulsory
    0.72
     punishable
    0.72
     gangs
    0.68
     winters
    0.67
    urated
    0.66
     ethnic
    0.65
     median
    0.64
     Shiite
    0.64
     elderly
    0.63
     daily
    0.63
    Activations Density 0.755%

    No Known Activations