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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. 7-RES-JB
    11. 19239
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    Explanations

    phrases or words related to action of forcefully removing or extracting something

    oai_token-act-pair · gpt-3.5-turbo

    words related to acts of playful or deceitful manipulation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hyde
    -0.87
    âĸ¬
    -0.79
    PRES
    -0.79
     Masters
    -0.71
    BOOK
    -0.71
    VICE
    -0.70
    lish
    -0.70
    NEY
    -0.69
    HCR
    -0.68
    âĸ¬âĸ¬
    -0.68
    POSITIVE LOGITS
    aques
    1.21
    atter
    1.15
    ump
    1.10
    umber
    1.09
    acent
    1.08
    umb
    1.06
    ipp
    1.04
    umbers
    1.03
    astered
    1.02
    icably
    1.02
    Activations Density 0.013%

    No Known Activations