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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. 1-RES-JB
    11. 15850
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    Explanations

    phrases related to actions or activities

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "roll" in different forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anas
    -0.83
    bil
    -0.81
    aldi
    -0.79
    ibel
    -0.76
    elin
    -0.76
    lins
    -0.74
    lov
    -0.73
    forge
    -0.72
    uras
    -0.70
    emi
    -0.70
    POSITIVE LOGITS
    rolling
    0.83
    ULTS
    0.71
    rog
    0.65
     Squid
    0.65
     Seah
    0.65
     downhill
    0.62
    izabeth
    0.62
    estinal
    0.62
     Oath
    0.62
     uphill
    0.62
    Activations Density 0.026%

    No Known Activations