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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. 11-RES-JB
    11. 17268
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to career development and progression

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    armed
    -0.73
    bite
    -0.71
    eous
    -0.66
    ylum
    -0.65
    ells
    -0.64
    arling
    -0.64
    tons
    -0.64
    tics
    -0.63
    legged
    -0.63
    cott
    -0.63
    POSITIVE LOGITS
     trajectory
    1.24
     traject
    1.07
     path
    1.04
     progression
    1.01
     advancement
    0.99
     paths
    0.97
     achievements
    0.91
     spanning
    0.89
     accomplishments
    0.87
     aspirations
    0.85
    Activations Density 0.051%

    No Known Activations