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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. 6-RES-JB
    11. 345
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    Explanations

    dates expressed in the format of a year, followed by a sequential number

    oai_token-act-pair · gpt-3.5-turbo

    specific years, particularly emphasizing the years 1982 and 2002

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otle
    -0.82
    ledged
    -0.82
    intosh
    -0.81
    raltar
    -0.80
    azi
    -0.77
    achu
    -0.75
    sonian
    -0.74
    awed
    -0.69
    ãĤ©
    -0.69
     ank
    -0.69
    POSITIVE LOGITS
    nd
    1.70
    ND
    0.85
    ally
    0.82
    80
    0.80
    naire
    0.80
    50
    0.76
    ipop
    0.74
     thirds
    0.72
     Commando
    0.72
    186
    0.71
    Activations Density 0.109%

    No Known Activations