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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. 1-RES-JB
    11. 18058
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    Explanations

    names or terms related to individuals or places, especially those ending in 'dar'

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Supplemental
    -0.70
     Hass
    -0.68
     kcal
    -0.68
     Buff
    -0.66
     Consumption
    -0.66
     Dupl
    -0.64
     Simmons
    -0.64
     glut
    -0.61
     req
    -0.60
     Cong
    -0.60
    POSITIVE LOGITS
    dar
    1.06
    orne
    0.90
    stal
    0.86
    Nar
    0.83
    olson
    0.82
    things
    0.82
    istics
    0.81
    ilib
    0.80
    adr
    0.79
    ning
    0.79
    Activations Density 0.043%

    No Known Activations