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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. 21094
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    INDEX
    Explanations

    phrases that include a person speaking in the context of making an official statement

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the article "a" in various 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
    bots
    -0.80
    marks
    -0.78
    plates
    -0.76
    /-
    -0.74
    Effects
    -0.73
    Tags
    -0.73
    alties
    -0.72
    flies
    -0.72
    ontent
    -0.72
    ypes
    -0.72
    POSITIVE LOGITS
     nutshell
    1.05
     guise
    0.93
     manner
    0.92
     wake
    0.92
     midst
    0.91
     vein
    0.89
     courtroom
    0.89
     vicinity
    0.88
     vain
    0.87
     turbulent
    0.85
    Activations Density 0.303%

    No Known Activations