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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. 0-RES-JB
    11. 15471
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    Explanations

    phrases indicating a future event or action

    oai_token-act-pair · gpt-3.5-turbo

    references to being "ahead" in various contexts

    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
    omal
    -0.70
     CLSID
    -0.69
     delusion
    -0.58
    acted
    -0.58
    $.
    -0.55
    rely
    -0.55
    acre
    -0.54
     Statue
    -0.54
    avery
    -0.52
    odor
    -0.52
    POSITIVE LOGITS
     ahead
    3.92
     Ahead
    3.00
    ahead
    2.18
     beforehand
    1.34
     advance
    1.07
    behind
    1.07
     behind
    1.03
     trailing
    0.94
     forward
    0.92
     alongside
    0.88
    Activations Density 0.017%

    No Known Activations