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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    mentions of the word "Steel"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Steel" in various contexts

    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
    ipel
    -1.01
     bapt
    -0.80
     monkeys
    -0.74
    onym
    -0.70
     abort
    -0.69
    mem
    -0.68
     trough
    -0.68
     administr
    -0.67
     primates
    -0.67
     filtering
    -0.65
    POSITIVE LOGITS
     Steel
    4.03
    Steel
    2.70
    steel
    2.18
     steel
    2.17
     Copper
    1.39
     Steelers
    1.38
     Aluminum
    1.33
     Iron
    1.32
     Metal
    1.31
     Alloy
    1.26
    Activations Density 0.013%

    No Known Activations