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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 18770
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    INDEX
    Explanations

    adjectives related to stability

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with stability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     appealed
    -0.76
    FactoryReloaded
    -0.73
    sbm
    -0.72
    inx
    -0.69
    hig
    -0.69
    oths
    -0.68
     Outs
    -0.66
    orig
    -0.66
    retty
    -0.65
    NS
    -0.64
    POSITIVE LOGITS
    mates
    1.06
    mate
    1.04
     isot
    1.00
    iable
    0.86
    ament
    0.82
     equilibrium
    0.80
     Stability
    0.75
     enough
    0.74
     stable
    0.73
    ative
    0.72
    Activations Density 0.016%

    No Known Activations