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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 8927
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    Explanations

    topics or subjects of discussion or conversation

    oai_token-act-pair · gpt-3.5-turbo

    references to discussions or conversations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     landfall
    -0.72
    aples
    -0.66
    undai
    -0.66
    Constructed
    -0.66
    anmar
    -0.65
     Soldier
    -0.65
    ascade
    -0.64
    served
    -0.64
    uilt
    -0.63
     handc
    -0.61
    POSITIVE LOGITS
    ership
    0.84
    bag
    0.77
     Talk
    0.77
    uces
    0.77
    bone
    0.76
    ucing
    0.75
     about
    0.75
    ers
    0.75
    ularity
    0.73
    ij士
    0.73
    Activations Density 0.027%

    No Known Activations