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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. 9-RES-JB
    11. 17806
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    Explanations

    phrases related to ensuring compliance and preventing negative actions or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    negations and expressions of avoidance or prevention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utral
    -0.66
     testament
    -0.66
    Strong
    -0.66
     sophistication
    -0.64
     acknowledgement
    -0.63
     reasoned
    -0.62
    lication
    -0.62
    tymology
    -0.61
     assurance
    -0.61
     liter
    -0.60
    POSITIVE LOGITS
     inadvertently
    1.14
     accidentally
    1.08
     unintentionally
    1.04
     misunderstand
    1.04
     undue
    1.01
     ruin
    1.01
     misinterpret
    1.00
     unintended
    0.99
     contam
    0.98
     confuse
    0.98
    Activations Density 0.229%

    No Known Activations