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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. 5-RES-JB
    6. 14970
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    Explanations

    instances of someone escaping or avoiding harm

    oai_token-act-pair · gpt-3.5-turbo

    language related to escape or liberation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.89
     Compass
    -0.70
    MX
    -0.66
    Ped
    -0.66
    paper
    -0.64
    yi
    -0.64
     Huawei
    -0.63
     indicators
    -0.60
    cientious
    -0.60
     Associ
    -0.59
    POSITIVE LOGITS
     confines
    0.89
     boredom
    0.85
     clut
    0.78
     gunfire
    0.76
     bounds
    0.76
     altogether
    0.75
     fumes
    0.74
     wilderness
    0.71
     obscurity
    0.71
     tears
    0.68
    Activations Density 0.209%

    No Known Activations