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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. 10-RES-JB
    6. 1740
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    Explanations

    phrases related to opinions or statements, potentially with emphatic language like "no more" or "hope"

    oai_token-act-pair · gpt-3.5-turbo

    notations indicating the absence of conflict or moderation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igent
    -0.87
    Enlarge
    -0.85
    ashington
    -0.83
    estine
    -0.80
    typically
    -0.78
    obook
    -0.78
    occup
    -0.77
    associated
    -0.77
    Supported
    -0.76
    edIn
    -0.75
    POSITIVE LOGITS
     surprises
    1.16
     booze
    1.11
     explosions
    1.10
     hugs
    1.10
     fireworks
    1.10
     roses
    1.08
     spoilers
    1.08
     applause
    1.07
     goodies
    1.05
     excuses
    1.03
    Activations Density 0.563%

    No Known Activations