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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. 3-RES-JB
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    Explanations

    instances of the word "will"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "will" indicating future actions or plans

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Romeo
    -0.66
    amped
    -0.65
    existence
    -0.61
     calcul
    -0.60
    existent
    -0.59
    Boss
    -0.59
    Newsletter
    -0.59
    violent
    -0.58
    processing
    -0.57
    efeated
    -0.57
    POSITIVE LOGITS
     be
    1.05
     doubtless
    1.00
     undoubtedly
    0.99
     gladly
    0.98
     likely
    0.93
     surely
    0.93
     definitely
    0.93
     probably
    0.91
     soon
    0.91
     eventually
    0.89
    Activations Density 0.213%

    No Known Activations