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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. 4059
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    Explanations

    terms related to resources or tools available for a specific purpose

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "disposal" in various contexts

    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
    apa
    -0.89
    hemat
    -0.87
    acca
    -0.78
    rica
    -0.73
    sky
    -0.70
    enny
    -0.69
    akening
    -0.69
    iam
    -0.69
    rises
    -0.67
    inx
    -0.67
    POSITIVE LOGITS
     disposal
    1.25
    ptions
    0.97
    ption
    0.92
     dispose
    0.79
    ptive
    0.78
    ptives
    0.78
     dispos
    0.78
     disposed
    0.74
     disposition
    0.72
    itures
    0.71
    Activations Density 0.006%

    No Known Activations