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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. 4-RES-JB
    11. 7845
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    Explanations

    references to students or pupils in educational contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    references to students or pupils, especially related to education and learning

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hive
    -0.67
    omes
    -0.66
    ISTORY
    -0.65
    haul
    -0.64
    ord
    -0.61
     normalized
    -0.60
    ider
    -0.58
     anchors
    -0.57
    leans
    -0.57
    vell
    -0.57
    POSITIVE LOGITS
     pupils
    1.02
     pupil
    0.93
    girls
    0.81
    illary
    0.75
    lections
    0.75
    iless
    0.72
    enary
    0.69
    oons
    0.68
    illion
    0.68
    ilon
    0.68
    Activations Density 0.014%

    No Known Activations