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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. 10-RES-JB
    11. 908
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    Explanations

    percentages expressed in numerical form

    oai_token-act-pair · gpt-3.5-turbo

    percentages and related statistical terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kefeller
    -0.84
     Dull
    -0.76
    DragonMagazine
    -0.72
    PHOTOS
    -0.71
    ALLY
    -0.69
    zie
    -0.64
    æĹ
    -0.63
    jri
    -0.60
    ITED
    -0.60
    beit
    -0.60
    POSITIVE LOGITS
    imet
    1.47
    imeter
    1.05
     GST
    0.77
    uation
    0.77
    enary
    0.76
     favour
    0.75
    bench
    0.75
     enrol
    0.74
    payers
    0.74
     occupancy
    0.72
    Activations Density 0.029%

    No Known Activations