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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. 6-RES-JB
    11. 234
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    Explanations

    phrases related to significant events or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to death and related events or occurrences

    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
    oros
    -0.64
     atmosp
    -0.63
     linear
    -0.62
     cubic
    -0.60
     Boh
    -0.60
     rg
    -0.59
     Berman
    -0.59
     kW
    -0.58
     Avery
    -0.58
     Greenberg
    -0.58
    POSITIVE LOGITS
    ishment
    0.92
     spree
    0.81
     journey
    0.79
     demise
    0.77
     departure
    0.72
    Reloaded
    0.72
     woes
    0.68
    mate
    0.68
     announcement
    0.68
     rampage
    0.66
    Activations Density 0.154%

    No Known Activations