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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. 6-RES-JB
    6. 595
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    INDEX
    Explanations

    phrases indicating future actions or intentions

    oai_token-act-pair · gpt-3.5-turbo

    the verb "gonna" indicating future intention or prediction

    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
     Palest
    -0.74
    croft
    -0.71
    lain
    -0.71
    ItemImage
    -0.70
    template
    -0.69
    edly
    -0.69
    lier
    -0.68
    enthal
    -0.68
    rehens
    -0.65
    furt
    -0.65
    POSITIVE LOGITS
     nab
    0.88
     ta
    0.85
     tha
    0.81
     snag
    0.81
     go
    0.80
     wanna
    0.80
     get
    0.75
     buckle
    0.75
     gotta
    0.75
     swipe
    0.73
    Activations Density 0.028%

    No Known Activations