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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 6195
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    Explanations

    phrases related to physical activities or achievements

    oai_token-act-pair · gpt-3.5-turbo

    metrics related to time and frequency in activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    events
    -0.75
     establishments
    -0.68
     Machines
    -0.65
     Dates
    -0.65
     embassies
    -0.64
     Scenes
    -0.63
    doms
    -0.63
     channels
    -0.62
    rooms
    -0.61
    ernels
    -0.61
    POSITIVE LOGITS
    ccording
    0.70
     spokesperson
    0.68
    ogram
    0.62
     standpoint
    0.62
     perspective
    0.61
     staffer
    0.60
    lier
    0.60
     apology
    0.59
    ozy
    0.59
     sleeper
    0.58
    Activations Density 3.544%

    No Known Activations