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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. 1-RES-JB
    11. 14040
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    Explanations

    references to moral principles or ethical standards

    oai_token-act-pair · gpt-3.5-turbo

    references to values and qualitative principles

    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
    src
    -0.77
    geon
    -0.72
    ork
    -0.68
    ripp
    -0.67
    phabet
    -0.67
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.66
    nec
    -0.65
    twitch
    -0.64
    UNCH
    -0.64
    oard
    -0.63
    POSITIVE LOGITS
     values
    1.21
     Values
    1.15
    values
    1.03
    Values
    0.89
     value
    0.82
    terday
    0.75
    value
    0.74
    zsche
    0.74
     sensibilities
    0.71
     ideals
    0.68
    Activations Density 0.008%

    No Known Activations