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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. 4-RES-JB
    11. 20558
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    Explanations

    phrases indicating the need for action or change

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "it's time" indicating a call for action or change

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

    No Comments

    Negative Logits
    avorite
    -0.78
    riad
    -0.73
    doms
    -0.70
    ramid
    -0.70
     sqor
    -0.65
     ensu
    -0.65
    ophon
    -0.64
    ourt
    -0.64
    ipel
    -0.63
    urat
    -0.63
    POSITIVE LOGITS
    zone
    0.83
    aneously
    0.80
    borne
    0.80
    wise
    0.79
    frames
    0.77
    dule
    0.77
    bell
    0.73
     Osw
    0.70
     consuming
    0.69
     TIME
    0.69
    Activations Density 0.025%

    No Known Activations