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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. 3-RES-JB
    11. 23582
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    Explanations

    phrases related to the concept of lacking or missing something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to loss or deficiencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPLE
    -0.65
    ================================
    -0.64
    ocument
    -0.63
    -+-+
    -0.62
    OLOGY
    -0.61
     [+]
    -0.59
    taboola
    -0.58
     Qian
    -0.58
    Ħ¢
    -0.57
    ij士
    -0.56
    POSITIVE LOGITS
    uminati
    0.80
    heed
    0.75
    stro
    0.71
    luster
    0.70
    warm
    0.69
    enthal
    0.67
    emonic
    0.67
    emon
    0.67
    profits
    0.66
    ttle
    0.66
    Activations Density 0.053%

    No Known Activations