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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. 125
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    Explanations

    numerical statistics or data related terms

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "posted" or other verbs indicating performance or achievement statistics

    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
    wrong
    -0.64
     contrace
    -0.63
    inventory
    -0.62
    iw
    -0.61
    usb
    -0.59
    BU
    -0.58
     lawy
    -0.57
    oz
    -0.57
     Zionism
    -0.57
    omb
    -0.57
    POSITIVE LOGITS
     considerable
    0.81
    idable
    0.79
    illac
    0.78
     favorable
    0.78
    rocal
    0.74
    interstitial
    0.73
     impressive
    0.73
     higher
    0.73
     favourable
    0.72
     rave
    0.71
    Activations Density 0.172%

    No Known Activations