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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. 6-RES-JB
    11. 820
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    Explanations

    phrases related to expressing intention or willingness

    oai_token-act-pair · gpt-3.5-turbo

    the word "would" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DAQ
    -0.65
     sqor
    -0.64
    ception
    -0.63
    ominated
    -0.61
    Building
    -0.61
     Sporting
    -0.60
    ancer
    -0.59
    cius
    -0.59
     Initiative
    -0.57
     Reporting
    -0.56
    POSITIVE LOGITS
     be
    1.00
     never
    0.95
     eventually
    0.85
     reopen
    0.85
    never
    0.84
    ĸļ
    0.84
     gladly
    0.83
    soon
    0.81
     unleash
    0.80
     soon
    0.80
    Activations Density 0.193%

    No Known Activations