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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. 0-RES-JB
    6. 23448
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    Explanations

    mentions of the word "watches" referring to timepieces or the act of observing

    oai_token-act-pair · gpt-3.5-turbo

    references to watches and related actions

    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
     boost
    -0.64
    olution
    -0.64
    ax
    -0.63
    ASE
    -0.59
     smear
    -0.58
     bru
    -0.58
     
    -0.58
     hurdle
    -0.58
    olved
    -0.58
    ¶
    -0.57
    POSITIVE LOGITS
     watches
    3.72
     listens
    1.63
    atches
    1.62
     dresses
    1.50
     waits
    1.47
     radios
    1.46
     monitors
    1.44
     TVs
    1.36
     watch
    1.32
     watched
    1.29
    Activations Density 0.013%

    No Known Activations