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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. 5542
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    INDEX
    Explanations

    phrases related to overestimation and underestimation

    oai_token-act-pair · gpt-3.5-turbo

    words related to assessment and perception of size or significance

    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
    nant
    -0.71
    ĪĴ
    -0.68
    wich
    -0.67
    iston
    -0.64
     Skydragon
    -0.63
    atri
    -0.63
     Administ
    -0.63
    idav
    -0.63
    ģĸ
    -0.63
    alde
    -0.62
    POSITIVE LOGITS
    imate
    0.98
     expectations
    0.95
     importance
    0.92
     exagger
    0.88
     significance
    0.84
    imates
    0.83
    inventoryQuantity
    0.82
     strengths
    0.81
     exaggeration
    0.81
     severity
    0.79
    Activations Density 0.130%

    No Known Activations