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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 17613
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    INDEX
    Explanations

    mentions of human values

    oai_token-act-pair · gpt-3.5-turbo

    references to core values and principles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    女
    -0.72
    igans
    -0.69
    geon
    -0.69
    jen
    -0.68
    sie
    -0.67
    ready
    -0.67
    nih
    -0.66
    \/\/
    -0.66
    DERR
    -0.65
    fac
    -0.64
    POSITIVE LOGITS
    iblings
    0.80
     ideals
    0.76
     values
    0.72
     tolerance
    0.71
     principles
    0.70
     Values
    0.69
    cape
    0.69
     beliefs
    0.67
     embodied
    0.67
     Advocate
    0.66
    Activations Density 0.027%

    No Known Activations