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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. 9-RES-JB
    11. 14265
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    Explanations

    phrases related to maintaining something in a specific condition

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sustaining or preserving something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.86
    NetMessage
    -0.77
    gey
    -0.67
    onz
    -0.66
    çīĪ
    -0.66
    ologue
    -0.65
    ãĥ¬
    -0.64
    FTWARE
    -0.64
    èĥ
    -0.63
    ãĤ¡
    -0.63
    POSITIVE LOGITS
     composure
    1.07
     vigil
    0.96
     vigilance
    0.95
     secrecy
    0.92
     confidentiality
    0.90
     neutrality
    0.86
    ably
    0.86
     suspense
    0.85
     continuity
    0.85
     equilibrium
    0.84
    Activations Density 0.045%

    No Known Activations