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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. 2-RES-JB
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    Explanations

    the word "norm" along with phrases discussing societal or cultural standards

    oai_token-act-pair · gpt-3.5-turbo

    references to societal norms or standards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pta
    -0.81
    cigarette
    -0.71
    ACTED
    -0.71
    cigarettes
    -0.67
    lder
    -0.67
    cig
    -0.65
     Bot
    -0.64
     Cannabis
    -0.63
     Ashes
    -0.63
     Shades
    -0.63
    POSITIVE LOGITS
    ality
    1.08
     norm
    0.97
    ativity
    0.96
    norm
    0.94
    als
    0.90
    heast
    0.75
    heastern
    0.74
    emort
    0.74
    esm
    0.74
    alties
    0.73
    Activations Density 0.008%

    No Known Activations