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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. 10-RES-JB
    11. 12292
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    INDEX
    Explanations

    phrases starting with "Being" followed by a description or characteristic

    oai_token-act-pair · gpt-3.5-turbo

    the word "being" and its variations, indicating a focus on existence or identity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    joining
    -0.77
    PsyNetMessage
    -0.72
    opening
    -0.66
    luck
    -0.64
     endings
    -0.63
    olesterol
    -0.62
    NetMessage
    -0.62
     Surv
    -0.61
     Landing
    -0.61
    taking
    -0.60
    POSITIVE LOGITS
     able
    1.35
     unable
    1.10
     chased
    1.04
     aware
    0.97
     dragged
    0.91
     bitten
    0.91
     immersed
    0.90
     bullied
    0.90
     transported
    0.88
     sucked
    0.88
    Activations Density 0.118%

    No Known Activations