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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 16815
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    Explanations

    specific examples or instances of things

    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce examples or instances

    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
     neighb
    -0.63
    ULTS
    -0.63
    orts
    -0.63
     unlaw
    -0.57
    ISA
    -0.55
    ggles
    -0.55
     suspic
    -0.54
    ements
    -0.54
    atures
    -0.53
     unification
    -0.53
    POSITIVE LOGITS
    .,
    0.78
    ,
    0.74
    ,.
    0.72
    ,—
    0.69
    ,,
    0.68
    ,...
    0.66
    .
    0.64
    :#
    0.63
    ;
    0.63
    :{
    0.62
    Activations Density 0.037%

    No Known Activations