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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. 0-RES-JB
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    Explanations

    names or terms related to physical locations

    oai_token-act-pair · gpt-3.5-turbo

    the word "ams" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hier
    -0.65
     unde
    -0.64
    æĸ
    -0.63
     goodbye
    -0.61
     sticker
    -0.61
     palate
    -0.60
     closet
    -0.59
     contro
    -0.59
     overe
    -0.58
     uncle
    -0.57
    POSITIVE LOGITS
    ams
    4.57
    AMS
    2.03
    ammers
    1.86
    ammed
    1.70
    am
    1.64
    aming
    1.55
    amm
    1.54
    amed
    1.53
    amin
    1.51
    ames
    1.44
    Activations Density 0.007%

    No Known Activations