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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. 2-RES-JB
    11. 6514
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    INDEX
    Explanations

    capitalized acronyms like "DI" with a high level of activation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of DIY and related concepts in content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icago
    -0.68
    rooms
    -0.68
    night
    -0.66
     Charlotte
    -0.63
    frames
    -0.62
    storm
    -0.62
     odds
    -0.62
     breeze
    -0.60
     multiplied
    -0.60
     Helena
    -0.58
    POSITIVE LOGITS
    DI
    1.42
    RECT
    1.42
    cipl
    0.90
    ANE
    0.89
    ablo
    0.86
    HK
    0.85
    KK
    0.84
    PT
    0.83
    JECT
    0.81
    CE
    0.80
    Activations Density 0.006%

    No Known Activations