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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. 3-RES-JB
    11. 17985
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    INDEX
    Explanations

    technical terms related to data and storage

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "footprint," indicating an emphasis on environmental or metaphorical impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    regulated
    -0.70
    erest
    -0.68
    ippery
    -0.68
    icum
    -0.66
     antidepressants
    -0.65
     Gos
    -0.64
    acha
    -0.64
    otos
    -0.64
    oys
    -0.60
     Adin
    -0.60
    POSITIVE LOGITS
     footprint
    1.47
     footprints
    1.19
    Þ
    0.76
    print
    0.73
     Takeru
    0.70
     imprint
    0.68
    ãĤ´
    0.67
     stump
    0.66
     Shoals
    0.66
     print
    0.66
    Activations Density 0.009%

    No Known Activations