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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. 6-RES-JB
    11. 349
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    INDEX
    Explanations

    references to the act of preserving or keeping something in a particular state

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of maintaining stability or continuity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -1.03
    DragonMagazine
    -0.78
    çīĪ
    -0.78
    FTWARE
    -0.74
    cffffcc
    -0.69
    displayText
    -0.68
    onz
    -0.67
    PsyNetMessage
    -0.67
    ï¸
    -0.66
    RNA
    -0.65
    POSITIVE LOGITS
     composure
    0.92
     vigil
    0.80
     equilibrium
    0.77
     upkeep
    0.77
     vigilance
    0.77
    ably
    0.76
     pace
    0.75
     maintained
    0.75
     afloat
    0.74
     suspense
    0.73
    Activations Density 0.036%

    No Known Activations