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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 12620
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    Explanations

    the word "be"

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the verb "be" in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nap
    -0.77
     lifetime
    -0.71
     choice
    -0.71
     profile
    -0.69
     drift
    -0.68
     runaway
    -0.67
     relativity
    -0.66
     feasibility
    -0.65
     firsthand
    -0.65
     pole
    -0.65
    POSITIVE LOGITS
    yond
    1.43
    ardless
    1.13
    be
    1.08
    arers
    1.07
    cker
    0.99
    efe
    0.99
    ards
    0.99
    ech
    0.98
    FORE
    0.96
    auc
    0.96
    Activations Density 0.010%

    No Known Activations