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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. 0-RES-JB
    11. 16856
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    Explanations

    references to specific entity names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific brands or entities related to products and individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     crate
    -0.69
    Metal
    -0.69
    Graph
    -0.65
    ucha
    -0.65
     Emb
    -0.65
    Miller
    -0.64
    Interstitial
    -0.63
    Div
    -0.63
     html
    -0.62
    Lua
    -0.62
    POSITIVE LOGITS
     standby
    1.79
     Boots
    1.78
    abit
    1.45
     Ernst
    1.40
    wark
    1.30
     Coch
    1.28
     lookout
    1.25
     GOODMAN
    1.20
     Gat
    1.10
    âĢ²
    1.07
    Activations Density 0.063%

    No Known Activations