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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. 455
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    Explanations

    years from the 1990s

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the year 1990

    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
    kell
    -0.86
    semble
    -0.70
    hire
    -0.70
     hemisphere
    -0.69
    hern
    -0.66
     hypers
    -0.65
    plom
    -0.65
    spons
    -0.64
     lightsaber
    -0.64
    cone
    -0.64
    POSITIVE LOGITS
    ĸļ
    1.11
    ãĤ¦ãĤ¹
    0.86
    zsche
    0.82
    sburg
    0.79
     census
    0.77
    cture
    0.73
    ãĤ£
    0.73
    å¹
    0.73
    -'
    0.73
    erest
    0.72
    Activations Density 0.009%

    No Known Activations