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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. 5-RES-JB
    6. 3028
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    Explanations

    phrases describing something as being completely allowed or appropriate

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of perfection or acceptability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.83
    NetMessage
    -0.80
    ulative
    -0.76
    hyde
    -0.71
    jri
    -0.68
    mere
    -0.68
    worldly
    -0.68
    Downloadha
    -0.67
    ulton
    -0.66
    uese
    -0.65
    POSITIVE LOGITS
     suited
    1.02
     aligned
    0.92
     timed
    0.82
     positioned
    0.80
     fit
    0.74
     tuned
    0.74
     encaps
    0.73
     @@
    0.73
    uner
    0.73
     fitted
    0.72
    Activations Density 0.010%

    No Known Activations