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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. 9290
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    INDEX
    Explanations

    mention of products or kits

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of kits

    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
    arching
    -0.86
    nesota
    -0.80
    ews
    -0.74
    acebook
    -0.72
    unct
    -0.69
     Democr
    -0.66
     Deity
    -0.64
    rir
    -0.63
    ificant
    -0.62
    piring
    -0.61
    POSITIVE LOGITS
    chens
    1.17
     kit
    1.13
    kit
    1.12
     kits
    1.08
    kat
    0.89
     Kit
    0.87
     Kits
    0.78
    Kat
    0.78
    Kit
    0.76
    hod
    0.76
    Activations Density 0.008%

    No Known Activations