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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. 9-RES-JB
    6. 8393
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    Explanations

    phrases related to discovering or uncovering information

    oai_token-act-pair · gpt-3.5-turbo

    references to present situations or current events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PLIED
    -0.77
    tein
    -0.70
    stroke
    -0.67
     operation
    -0.66
    ricular
    -0.64
     teammates
    -0.63
     sabotage
    -0.62
     portfolio
    -0.59
    obbies
    -0.59
    ihad
    -0.59
    POSITIVE LOGITS
     ourselves
    1.12
     witnessing
    0.84
     electing
    0.82
     glimpse
    0.81
     glimps
    0.79
    ankind
    0.76
    Episode
    0.76
     reckoning
    0.75
    ometers
    0.74
     incarcer
    0.74
    Activations Density 0.325%

    No Known Activations