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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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    INDEX
    Explanations

    phrases indicating desires or intentions

    oai_token-act-pair · gpt-3.5-turbo

    the word "wanted" 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
    clus
    -0.63
    ific
    -0.58
    ounding
    -0.57
    ecd
    -0.56
    arity
    -0.55
     confirmation
    -0.55
    peer
    -0.55
    clusively
    -0.55
    lance
    -0.54
    runtime
    -0.53
    POSITIVE LOGITS
     wanted
    3.14
     Wanted
    2.10
     wished
    1.94
     wants
    1.90
     want
    1.74
     WANT
    1.72
     liked
    1.65
     hated
    1.58
     desired
    1.56
    want
    1.55
    Activations Density 0.020%

    No Known Activations