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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. 4-RES-JB
    11. 2234
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    Explanations

    phrases indicating personal experiences and actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate possession or personal experience

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

    No Comments

    Negative Logits
    artney
    -0.78
    Args
    -0.66
     Gap
    -0.66
    bies
    -0.62
     lif
    -0.61
     Trap
    -0.60
    leck
    -0.60
    eele
    -0.60
     Kitt
    -0.58
    ERE
    -0.58
    POSITIVE LOGITS
     myself
    1.20
     personally
    0.85
    opic
    0.81
    £ı
    0.78
     gladly
    0.77
     fortunate
    0.77
     paraph
    0.75
     pict
    0.75
    OGR
    0.74
    chin
    0.71
    Activations Density 0.417%

    No Known Activations