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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. 1-RES-JB
    6. 4435
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    INDEX
    Explanations

    phrases related to destruction or negative actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "destroy" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ETF
    -0.88
     pleading
    -0.76
    culation
    -0.75
    annis
    -0.74
    legal
    -0.73
    isoft
    -0.70
    çīĪ
    -0.69
    cul
    -0.66
    ramid
    -0.65
    bid
    -0.65
    POSITIVE LOGITS
     havoc
    0.90
    roying
    0.81
     destroy
    0.81
     warheads
    0.78
    ãĥĥãĥī
    0.73
     destroyer
    0.70
    ãĥĩãĤ£
    0.69
     destroys
    0.69
    ishing
    0.69
    ishers
    0.67
    Activations Density 0.015%

    No Known Activations