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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. 12-RES-JB
    11. 3043
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    Explanations

    words related to business models and distribution strategies

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases and terms related to media content and its distribution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     encount
    -0.76
     seiz
    -0.75
     misunder
    -0.71
     withd
    -0.69
     streng
    -0.68
     incent
    -0.67
     distingu
    -0.65
     myster
    -0.65
     glim
    -0.65
     conduc
    -0.64
    POSITIVE LOGITS
    ushima
    0.65
    umbn
    0.63
    vironment
    0.62
    icion
    0.62
    imeter
    0.61
    eredith
    0.59
    inventoryQuantity
    0.59
    ibaba
    0.59
    imeters
    0.58
    ategories
    0.57
    Activations Density 0.036%

    No Known Activations