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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. 11280
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    Explanations

    proper names of individuals, such as "Schneider" and "Jung."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names

    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
    ãĥ¼ãĥ³
    -0.76
    skirts
    -0.73
    opsy
    -0.72
    eral
    -0.70
    ocaust
    -0.69
    give
    -0.69
    cakes
    -0.67
    hered
    -0.66
    uses
    -0.64
    spring
    -0.64
    POSITIVE LOGITS
     Schneider
    1.47
    sonian
    0.91
    lich
    0.84
     shenan
    0.79
    mann
    0.79
     Chaser
    0.78
    mans
    0.73
    strom
    0.73
     Schiff
    0.72
     Myster
    0.71
    Activations Density 0.008%

    No Known Activations