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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
    11. 22332
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    Explanations

    terms related to geographical locations and scientific concepts, such as conduction, deviation, and specific place names like Edgewood and Kendall

    oai_token-act-pair · gpt-3.5-turbo

    terms related to economic and statistical concepts, particularly those associated with analysis of data

    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
     constitu
    -0.89
     abund
    -0.81
     veter
    -0.80
    heed
    -0.72
     caric
    -0.70
     unden
    -0.68
     sill
    -0.68
     patriarch
    -0.65
     earthqu
    -0.65
     quotas
    -0.64
    POSITIVE LOGITS
    urai
    0.83
     Trails
    0.79
    DCS
    0.78
     Cheong
    0.78
    hirt
    0.77
    gew
    0.77
    gow
    0.76
    sbm
    0.75
    atform
    0.74
     Preferred
    0.73
    Activations Density 0.040%

    No Known Activations