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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. 3342
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    Explanations

    Specific references to a particular entity called "Lab" and related terms or actions involving "Lab"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific laboratories or lab-related contexts

    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
     odds
    -0.81
     Marketable
    -0.78
    DIT
    -0.74
     LAST
    -0.73
    theless
    -0.71
    ãģį
    -0.68
     Oaks
    -0.67
    ãģ®éŃĶ
    -0.65
    ashington
    -0.65
    ICAN
    -0.65
    POSITIVE LOGITS
    yrinth
    1.19
    orers
    1.09
    eled
    1.06
    rador
    1.06
    elled
    1.00
    els
    0.97
    emark
    0.91
    VIEW
    0.90
    imen
    0.88
    lab
    0.87
    Activations Density 0.012%

    No Known Activations