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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. 3-RES-JB
    11. 13248
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    Explanations

    names and terms related to specific individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    names of places and individuals associated with a specific incident or event

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mine
    -0.80
    alys
    -0.75
     Crunch
    -0.72
    mitt
    -0.72
    mit
    -0.69
    reads
    -0.69
     corpus
    -0.66
    redd
    -0.65
    idy
    -0.65
     Das
    -0.64
    POSITIVE LOGITS
    eting
    0.96
     Lumpur
    0.89
     casinos
    0.87
     Vegas
    0.87
    uling
    0.85
     hotels
    0.83
    asonic
    0.81
    ety
    0.76
    uled
    0.73
    ighth
    0.73
    Activations Density 0.007%

    No Known Activations