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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. 11160
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    Explanations

    adjectives related to dryness

    oai_token-act-pair · gpt-3.5-turbo

    references to dryness or arid conditions

    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
    rade
    -0.73
    schild
    -0.68
     Kirin
    -0.66
    ourning
    -0.64
     Authority
    -0.63
     Uran
    -0.62
     Eag
    -0.60
    anamo
    -0.60
     Sabha
    -0.60
     Kore
    -0.60
    POSITIVE LOGITS
    zzle
    1.25
    vable
    1.07
    vin
    1.05
    zz
    1.04
    zzy
    1.03
     dri
    1.00
    pped
    0.99
    quet
    0.96
    ppings
    0.95
    ving
    0.90
    Activations Density 0.006%

    No Known Activations