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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. 8-RES-JB
    11. 23689
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    Explanations

    words related to nourishment, replenishment, and refurbishment

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with nourishment and conflict

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NUM
    -0.84
     Redemption
    -0.67
    DAY
    -0.67
     HIP
    -0.66
    RH
    -0.66
    MIC
    -0.65
    âĶģ
    -0.64
    ³³³³³³³³³³³³³³³³
    -0.64
     Factor
    -0.63
    WER
    -0.63
    POSITIVE LOGITS
    ishment
    2.11
    ishing
    1.99
    ished
    1.90
    ishers
    1.81
    isher
    1.75
    ishes
    1.64
    ish
    1.50
    ishable
    1.44
    itures
    1.28
    iture
    1.27
    Activations Density 0.080%

    No Known Activations