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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

    instances of the word "received"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "received."

    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
    yeah
    -0.77
    right
    -0.67
     tink
    -0.63
     doom
    -0.62
    kas
    -0.62
    arbon
    -0.62
    camp
    -0.61
    castle
    -0.61
     caution
    -0.60
     anyway
    -0.59
    POSITIVE LOGITS
     received
    3.31
    received
    2.51
     receives
    2.02
     receive
    1.98
     Received
    1.88
     receiving
    1.72
     garnered
    1.70
     earned
    1.58
     obtained
    1.56
     gained
    1.46
    Activations Density 0.024%

    No Known Activations