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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. 7-RES-JB
    6. 2398
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    Explanations

    phrases related to introducing topics or transitioning between topics

    oai_token-act-pair · gpt-3.5-turbo

    references to topics being introduced or discussed

    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
    prus
    -0.80
    phia
    -0.79
    Ctrl
    -0.78
    æ©
    -0.73
    eer
    -0.71
    ĸļ
    -0.71
    earchers
    -0.69
    bike
    -0.67
    opter
    -0.66
    atra
    -0.64
    POSITIVE LOGITS
     seriousness
    0.64
     specifics
    0.64
     matters
    0.63
     nutshell
    0.63
    gin
    0.62
     external
    0.61
     cases
    0.60
     downside
    0.60
     ado
    0.59
    wards
    0.59
    Activations Density 0.092%

    No Known Activations