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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. 14675
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    INDEX
    Explanations

    words related to policies and their impact

    oai_token-act-pair · gpt-3.5-turbo

    phrases detailing detrimental policies and their impacts

    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
    odiac
    -0.75
    rete
    -0.71
    raq
    -0.70
    Sync
    -0.69
     Beaver
    -0.69
    reciation
    -0.68
    Pixel
    -0.65
    Registered
    -0.62
    atha
    -0.62
     Feather
    -0.61
    POSITIVE LOGITS
     harms
    1.53
     exacerbate
    1.51
     undermine
    1.49
     undermines
    1.48
     exacerb
    1.45
     impover
    1.41
     devast
    1.36
     undermined
    1.35
     jeopard
    1.35
     adversely
    1.33
    Activations Density 0.467%

    No Known Activations