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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. 11-RES-JB
    6. 7258
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    Explanations

    instances of words related to situations or events that may cause concerns or discussions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to safety and risk events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ģĸ
    -0.98
    Adapt
    -0.90
    ahime
    -0.85
     guiName
    -0.83
    obook
    -0.79
    derived
    -0.78
    ESE
    -0.76
    ranch
    -0.73
    thood
    -0.72
    abase
    -0.72
    POSITIVE LOGITS
     bruises
    1.43
     gunshots
    1.28
     gunfire
    1.27
     tears
    1.24
     yelling
    1.24
     explosions
    1.18
     noise
    1.17
     cursing
    1.17
     stares
    1.16
     distractions
    1.15
    Activations Density 0.322%

    No Known Activations