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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. 1-RES-JB
    6. 9462
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    Explanations

    references to a person or entity designated to oversee an event

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "host"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.86
    ucket
    -0.74
    utherford
    -0.74
     Rite
    -0.69
    ected
    -0.69
    inventoryQuantity
    -0.67
    initions
    -0.66
    zb
    -0.66
    ection
    -0.65
    pend
    -0.64
    POSITIVE LOGITS
     host
    1.15
     hosts
    0.94
    Host
    0.91
    host
    0.91
    esses
    0.85
    ess
    0.84
     Host
    0.84
    name
    0.76
    ilities
    0.73
    masters
    0.71
    Activations Density 0.009%

    No Known Activations