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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. 8-RES-JB
    11. 15103
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    Explanations

    instances of the word "blow," particularly in the context of negative impacts or setbacks

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "blow" used to indicate negative consequences or impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rouse
    -0.69
    aughtered
    -0.65
    ript
    -0.64
    urated
    -0.64
    cius
    -0.63
     creat
    -0.63
     Bundes
    -0.62
     biod
    -0.60
    onomic
    -0.60
     exhibits
    -0.59
    POSITIVE LOGITS
     inflicted
    1.01
    hearted
    0.92
    hole
    0.92
    tro
    0.90
    stroke
    0.85
     setback
    0.85
     suffered
    0.83
    shield
    0.82
    back
    0.82
    hard
    0.81
    Activations Density 0.073%

    No Known Activations