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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 possession or obligation

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "have" 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
     emerging
    -0.62
     terminal
    -0.61
     extension
    -0.61
     res
    -0.61
     termin
    -0.59
     counters
    -0.58
     spl
    -0.57
     binding
    -0.56
     significant
    -0.56
     attendant
    -0.55
    POSITIVE LOGITS
     Have
    3.04
    Have
    2.28
    have
    1.70
     HAVE
    1.67
     Are
    1.52
     Has
    1.49
     Explain
    1.47
    Has
    1.40
     Were
    1.37
     Give
    1.35
    Activations Density 0.008%

    No Known Activations