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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. 11256
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    Explanations

    words or phrases related to the concept of large groups or quantities

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to arms and military terminology

    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
    azaki
    -0.78
    nect
    -0.72
    thodox
    -0.70
    neath
    -0.70
    aration
    -0.69
    struction
    -0.69
    incerity
    -0.68
     lighter
    -0.67
    jar
    -0.67
     srfAttach
    -0.66
    POSITIVE LOGITS
    DAQ
    0.68
     formations
    0.67
     mosquit
    0.66
     Typhoon
    0.64
    odge
    0.64
     mosquitoes
    0.62
     Emin
    0.62
     defences
    0.61
     Predators
    0.61
     Dos
    0.61
    Activations Density 0.135%

    No Known Activations