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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. 2-RES-JB
    11. 11204
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    Explanations

    references to computer networking and related technologies or activities

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with networking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ved
    -0.75
    onne
    -0.75
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.74
    orah
    -0.72
    itol
    -0.70
    efer
    -0.66
    ressed
    -0.64
    gg
    -0.64
    iva
    -0.63
    aja
    -0.63
    POSITIVE LOGITS
     networking
    1.30
     connectivity
    0.88
    yip
    0.83
     behavi
    0.82
     agre
    0.80
     engagements
    0.79
     connections
    0.77
     opportunities
    0.76
     acquaintances
    0.75
    GGGGGGGG
    0.74
    Activations Density 0.011%

    No Known Activations