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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. 12755
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    Explanations

    phrases related to specific locations or names, particularly containing the word "jar" or "zip"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or entities associated with conflict

    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
     hyp
    -0.72
     maneuvers
    -0.71
     electro
    -0.70
     sympath
    -0.70
     supplemental
    -0.70
     Continental
    -0.67
     exclusive
    -0.66
     PP
    -0.66
     Eps
    -0.65
     Neo
    -0.65
    POSITIVE LOGITS
    jar
    5.09
    Jar
    1.72
    zip
    1.69
     jar
    1.61
    rar
    1.43
    java
    1.21
    exe
    1.21
    tar
    1.21
    ja
    1.19
     Jar
    1.18
    Activations Density 0.021%

    No Known Activations