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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. 876
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    Explanations

    phrases related to the causation or outcome of events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the result or outcome of processes or events

    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
    ppa
    -0.82
    fax
    -0.80
    marg
    -0.79
    utical
    -0.79
    hazard
    -0.74
    urred
    -0.73
    iffe
    -0.72
    quet
    -0.72
    soon
    -0.71
    SEC
    -0.70
    POSITIVE LOGITS
     inaction
    0.95
     concerted
    0.87
     experimentation
    0.82
     combining
    0.80
     collaboration
    0.78
     collective
    0.78
     deliberate
    0.77
     centuries
    0.77
     sheer
    0.77
     laz
    0.76
    Activations Density 0.110%

    No Known Activations